Managing Non-Deterministic Multi-Agent Code Generation
Coditect Autonomous Development Platform
Version: 1.0
Status: Draft
Date: January 2026
1. The Core Challenge
1.1 Problem Statement
In agentic code generation systems:
- Non-Determinism: The same task specification can produce different code each time
- Agent Isolation: Agents are unaware of each other's work
- Temporal Overlap: Multiple agents work concurrently on related tasks
- Implicit Dependencies: Code changes can have non-obvious interactions
- Semantic Conflicts: Textually compatible code can be functionally incompatible
┌─────────────────────────────────────────────────────────────────────────┐
│ THE MULTI-AGENT CODE GENERATION PROBLEM │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ Task A-001: "Create user authentication" │
│ Task B-002: "Create user profile management" │
│ Task C-003: "Create user settings API" │
│ │
│ Three agents work in parallel, each unaware of the others... │
│ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Agent A │ │ Agent B │ │ Agent C │ │
│ │ │ │ │ │ │ │
│ │ Creates: │ │ Creates: │ │ Creates: │ │
│ │ - UserService │ │ - UserService │ │ - UserService │ │
│ │ - AuthToken │ │ - UserProfile │ │ - UserSettings │ │
│ │ - LoginCtrl │ │ - ProfileCtrl │ │ - SettingsCtrl │ │
│ │ │ │ │ │ │ │
│ │ Assumes: │ │ Assumes: │ │ Assumes: │ │
│ │ - User.id: int │ │ - User.id: uuid │ │ - User.id: str │ │
│ │ - sync DB calls │ │ - async DB │ │ - cached DB │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
│ │
│ RESULT: Three incompatible UserService implementations │
│ Three different assumptions about User.id type │
│ Three different database access patterns │
│ │
└─────────────────────────────────────────────────────────────────────────┘
1.2 Conflict Taxonomy
┌─────────────────────────────────────────────────────────────────────────┐
│ CONFLICT TYPES │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ TYPE 1: DIRECT CONFLICT │
│ ════════════════════════ │
│ Definition: Same file modified by multiple agents │
│ Detection: Git merge conflict (automatic) │
│ Example: Both agents create src/services/user_service.py │
│ Severity: HIGH - Must resolve before merge │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ TYPE 2: SEMANTIC CONFLICT │
│ ═════════════════════════ │
│ Definition: Different files with incompatible assumptions │
│ Detection: Compilation/type errors, test failures │
│ Example: Agent A: User.id is int │
│ Agent B: User.id is UUID │
│ Severity: HIGH - Code compiles but fails at runtime │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ TYPE 3: STRUCTURAL CONFLICT │
│ ═══════════════════════════ │
│ Definition: Incompatible architectural decisions │
│ Detection: Architecture analysis, dependency graphs │
│ Example: Agent A: Monolithic service │
│ Agent B: Microservice with message queue │
│ Severity: CRITICAL - Requires architectural reconciliation │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ TYPE 4: BEHAVIORAL CONFLICT │
│ ═══════════════════════════ │
│ Definition: Different runtime behaviors for same scenario │
│ Detection: Integration tests, behavior specifications │
│ Example: Agent A: Returns 404 for missing user │
│ Agent B: Returns empty object for missing user │
│ Severity: MEDIUM - Inconsistent API behavior │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ TYPE 5: DEPENDENCY CONFLICT │
│ ═══════════════════════════ │
│ Definition: Incompatible external dependencies │
│ Detection: Dependency resolution failures │
│ Example: Agent A: requires pandas 1.x │
│ Agent B: requires pandas 2.x │
│ Severity: MEDIUM - Requires dependency reconciliation │
│ │
└─────────────────────────────────────────────────────────────────────────┘
2. The Happy Path Architecture
2.1 Core Principle: Conflict Prevention Over Resolution
The optimal strategy minimizes conflicts through architecture, not just resolution:
CONFLICT MANAGEMENT HIERARCHY (in order of preference)
═══════════════════════════════════════════════════════════════════════════
1. PREVENT - Architecture that makes conflicts impossible
└─→ Isolated modules, clear boundaries, shared contracts
2. CONSTRAIN - Specifications that limit non-determinism
└─→ Interface definitions, type contracts, behavior specs
3. DETECT - Early warning before work is complete
└─→ Continuous integration, real-time analysis
4. RESOLVE - Automated resolution when conflicts occur
└─→ Generation precedence, semantic merge, AI reconciliation
5. RECOVER - Manual intervention as last resort
└─→ Human review, architectural refactoring
2.2 The Happy Path Flow
┌─────────────────────────────────────────────────────────────────────────┐
│ THE HAPPY PATH: CONFLICT-MINIMIZED FLOW │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ PHASE 1: PROJECT DECOMPOSITION (Architect Agent) │
│ ════════════════════════════════════════════════ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ PROJECT REQUIREMENTS │ │
│ │ "Build a user management system" │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ ARCHITECT AGENT │ │
│ │ │ │
│ │ 1. Define module boundaries │ │
│ │ 2. Create interface contracts │ │
│ │ 3. Specify shared types/schemas │ │
│ │ 4. Establish behavior specifications │ │
│ │ 5. Assign tasks to tracks with dependencies │ │
│ │ │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ SHARED CONTRACTS │ │
│ │ │ │
│ │ contracts/ │ │
│ │ ├── interfaces/ │ │
│ │ │ ├── user_service.py # Interface only │ │
│ │ │ ├── auth_service.py # Interface only │ │
│ │ │ └── profile_service.py # Interface only │ │
│ │ ├── types/ │ │
│ │ │ ├── user.py # User = { id: UUID, ... } │ │
│ │ │ ├── auth_token.py # Shared token type │ │
│ │ │ └── errors.py # Standard error types │ │
│ │ └── behaviors/ │ │
│ │ ├── user_not_found.md # Return 404, not empty │ │
│ │ └── auth_failure.md # Return 401, log attempt │ │
│ │ │ │
│ │ COMMITTED TO MAIN BEFORE IMPLEMENTATION BEGINS │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ PHASE 2: PARALLEL IMPLEMENTATION (Worker Agents) │
│ ═══════════════════════════════════════════════ │
│ │
│ Track A (Auth) Track B (Profile) Track C (Settings) │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Agent A │ │ Agent B │ │ Agent C │ │
│ │ │ │ │ │ │ │
│ │ INPUTS: │ │ INPUTS: │ │ INPUTS: │ │
│ │ - Contracts │ │ - Contracts │ │ - Contracts │ │
│ │ - Task spec │ │ - Task spec │ │ - Task spec │ │
│ │ │ │ │ │ │ │
│ │ CREATES: │ │ CREATES: │ │ CREATES: │ │
│ │ impl/auth/ │ │ impl/profile│ │ impl/settings│ │
│ │ │ │ │ │ │ │
│ │ MUST USE: │ │ MUST USE: │ │ MUST USE: │ │
│ │ - User type │ │ - User type │ │ - User type │ │
│ │ - Interface │ │ - Interface │ │ - Interface │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ ISOLATED IMPLEMENTATION DIRECTORIES │ │
│ │ │ │
│ │ impl/ │ │
│ │ ├── auth/ # Agent A's domain │ │
│ │ │ ├── auth_service.py # Implements IAuthService │ │
│ │ │ ├── token_manager.py # Internal to auth module │ │
│ │ │ └── tests/ # Auth-specific tests │ │
│ │ ├── profile/ # Agent B's domain │ │
│ │ │ ├── profile_service.py # Implements IProfileService │ │
│ │ │ ├── avatar_handler.py # Internal to profile │ │
│ │ │ └── tests/ # Profile-specific tests │ │
│ │ └── settings/ # Agent C's domain │ │
│ │ ├── settings_service.py # Implements ISettingsService │ │
│ │ ├── preference_store.py # Internal to settings │ │
│ │ └── tests/ # Settings-specific tests │ │
│ │ │ │
│ │ NO CROSS-MODULE IMPORTS EXCEPT THROUGH CONTRACTS │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ PHASE 3: CONTINUOUS INTEGRATION (During Implementation) │
│ ═══════════════════════════════════════════════════════ │
│ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ INTEGRATION GUARDIAN │ │
│ │ │ │
│ │ On every commit: │ │
│ │ ├── Verify: Implementation matches interface contract │ │
│ │ ├── Check: No imports outside module boundary │ │
│ │ ├── Test: Run contract compliance tests │ │
│ │ ├── Lint: Shared type usage is consistent │ │
│ │ └── Alert: Notify if potential conflict detected │ │
│ │ │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ PHASE 4: MERGE TO MAIN (Sequential by Track) │
│ ═════════════════════════════════════════════ │
│ │
│ main ═══════●═══════════●═══════════●═══════════●══════════ │
│ │ │ │ │ │
│ │ │ │ └── Settings merged │
│ │ │ └── Profile merged │
│ │ └── Auth merged │
│ └── Contracts committed │
│ │
│ Merge order: Contracts → Track A → Track B → Track C │
│ Each merge runs full integration test suite │
│ │
└─────────────────────────────────────────────────────────────────────────┘
3. Code Provenance and Traceability
3.1 Provenance Model
Every line of code must be traceable to its origin:
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Set
from datetime import datetime
import hashlib
@dataclass(frozen=True)
class CodeProvenance:
"""
Complete provenance information for generated code.
Enables answering:
- What task produced this code?
- Which agent generated it?
- What generation was it?
- What was the input specification?
- What model/version was used?
"""
# Task identification
task_id: str # A-001-setup-auth
track: str # A
sequence: int # 1
# Generation context
generation: int # 1, 2, 3...
session_id: str # sess-alice-001
agent_id: str # agent-alpha
# Model information (for reproducibility)
model_id: str # claude-3-opus-20240229
model_version: str # v1.2.3
temperature: float # 0.7
seed: Optional[int] # For reproducibility if supported
# Input specification
task_spec_hash: str # SHA256 of task specification
context_hash: str # SHA256 of context provided
contracts_hash: str # SHA256 of contracts at generation time
# Output identification
files_generated: List[str] # List of file paths
content_hash: str # SHA256 of all generated content
# Timestamps
started_at: datetime
completed_at: datetime
# Work product reference
work_product_ref: str # wp-A-001-...-gen1-abc123
def to_commit_trailer(self) -> str:
"""Generate Git commit trailer for provenance."""
return f"""
Provenance-Task: {self.task_id}
Provenance-Generation: {self.generation}
Provenance-Session: {self.session_id}
Provenance-Agent: {self.agent_id}
Provenance-Model: {self.model_id}@{self.model_version}
Provenance-Spec-Hash: {self.task_spec_hash[:16]}
Provenance-Content-Hash: {self.content_hash[:16]}
Provenance-Work-Product: {self.work_product_ref}
"""
@dataclass
class FileProvenance:
"""
Provenance for a single file, tracking which parts
came from which tasks/generations.
"""
file_path: str
# Line-level provenance
line_origins: Dict[int, CodeProvenance] # line_number -> provenance
# Block-level provenance (for efficiency)
block_origins: List['ProvenanceBlock']
def get_origin(self, line_number: int) -> Optional[CodeProvenance]:
"""Get provenance for a specific line."""
return self.line_origins.get(line_number)
def get_tasks_in_file(self) -> Set[str]:
"""Get all tasks that contributed to this file."""
return {p.task_id for p in self.line_origins.values()}
def get_conflict_risk(self) -> float:
"""
Calculate conflict risk based on how many different
tasks have contributed to this file.
Returns: 0.0 (single owner) to 1.0 (many owners)
"""
tasks = self.get_tasks_in_file()
if len(tasks) <= 1:
return 0.0
# More tasks = higher risk
return min(1.0, (len(tasks) - 1) / 5.0)
@dataclass
class ProvenanceBlock:
"""A contiguous block of lines from same origin."""
start_line: int
end_line: int
provenance: CodeProvenance
class ProvenanceTracker:
"""
Tracks provenance across all generated code.
Maintains a provenance database that maps every line
of generated code back to its origin.
"""
def __init__(self, project_id: str):
self.project_id = project_id
self.file_provenance: Dict[str, FileProvenance] = {}
self.task_files: Dict[str, Set[str]] = {} # task_id -> files
def record_generation(
self,
provenance: CodeProvenance,
generated_content: Dict[str, str] # filepath -> content
) -> None:
"""
Record provenance for newly generated code.
Args:
provenance: Origin information
generated_content: Map of file paths to content
"""
for file_path, content in generated_content.items():
lines = content.split('\n')
# Create or update file provenance
if file_path not in self.file_provenance:
self.file_provenance[file_path] = FileProvenance(
file_path=file_path,
line_origins={},
block_origins=[]
)
fp = self.file_provenance[file_path]
# Record line-level provenance
for i, line in enumerate(lines, start=1):
fp.line_origins[i] = provenance
# Record block provenance
fp.block_origins.append(ProvenanceBlock(
start_line=1,
end_line=len(lines),
provenance=provenance
))
# Track files by task
if provenance.task_id not in self.task_files:
self.task_files[provenance.task_id] = set()
self.task_files[provenance.task_id].add(file_path)
def find_conflicts(
self,
new_provenance: CodeProvenance,
new_files: Set[str]
) -> List['PotentialConflict']:
"""
Identify potential conflicts with existing code.
Args:
new_provenance: Provenance of new generation
new_files: Files the new generation will create/modify
Returns:
List of potential conflicts
"""
conflicts = []
for file_path in new_files:
if file_path in self.file_provenance:
existing = self.file_provenance[file_path]
existing_tasks = existing.get_tasks_in_file()
# File already has content from other tasks
if existing_tasks - {new_provenance.task_id}:
conflicts.append(PotentialConflict(
file_path=file_path,
conflict_type=ConflictType.DIRECT,
new_task=new_provenance.task_id,
existing_tasks=existing_tasks,
severity=self._calculate_severity(
existing, new_provenance
)
))
return conflicts
def get_file_history(self, file_path: str) -> List[CodeProvenance]:
"""Get all generations that touched a file."""
if file_path not in self.file_provenance:
return []
fp = self.file_provenance[file_path]
seen = set()
history = []
for block in fp.block_origins:
key = (block.provenance.task_id, block.provenance.generation)
if key not in seen:
seen.add(key)
history.append(block.provenance)
return sorted(history, key=lambda p: p.started_at)
3.2 Provenance-Aware Git Integration
class ProvenanceGitManager:
"""
Extends Git operations with provenance tracking.
"""
def __init__(
self,
repo_path: str,
provenance_tracker: ProvenanceTracker
):
self.repo = git.Repo(repo_path)
self.tracker = provenance_tracker
def commit_with_provenance(
self,
provenance: CodeProvenance,
files: List[str],
message: str
) -> str:
"""
Commit files with embedded provenance information.
"""
# Stage files
self.repo.index.add(files)
# Build message with provenance trailer
full_message = f"{message}\n{provenance.to_commit_trailer()}"
# Commit
commit = self.repo.index.commit(
full_message,
author=git.Actor(
f"agent-{provenance.agent_id}",
f"{provenance.agent_id}@coditect.local"
)
)
# Store provenance mapping
self._store_commit_provenance(commit.hexsha, provenance)
return commit.hexsha
def get_file_provenance(self, file_path: str, commit: str = "HEAD") -> FileProvenance:
"""
Reconstruct provenance for a file by walking Git history.
"""
# Use git blame to get line-by-line commit attribution
blame = self.repo.blame(commit, file_path)
file_prov = FileProvenance(
file_path=file_path,
line_origins={},
block_origins=[]
)
line_num = 1
for commit_obj, lines in blame:
# Extract provenance from commit message
prov = self._parse_commit_provenance(commit_obj)
if prov:
block_start = line_num
for line in lines:
file_prov.line_origins[line_num] = prov
line_num += 1
file_prov.block_origins.append(ProvenanceBlock(
start_line=block_start,
end_line=line_num - 1,
provenance=prov
))
else:
line_num += len(lines)
return file_prov
def find_task_code(self, task_id: str) -> Dict[str, List[int]]:
"""
Find all code contributed by a specific task.
Returns: Map of file_path -> list of line numbers
"""
result = {}
for file_path in self._get_all_files():
prov = self.get_file_provenance(file_path)
lines = [
line_num for line_num, p in prov.line_origins.items()
if p and p.task_id == task_id
]
if lines:
result[file_path] = lines
return result
4. Conflict Detection Strategies
4.1 Pre-Generation Conflict Detection
Detect conflicts BEFORE agents start working:
class PreGenerationConflictDetector:
"""
Analyzes task specifications to predict conflicts
before any code is generated.
"""
def __init__(
self,
project_structure: 'ProjectStructure',
contract_registry: 'ContractRegistry'
):
self.project = project_structure
self.contracts = contract_registry
def analyze_task_set(
self,
tasks: List['TaskSpecification']
) -> 'ConflictPrediction':
"""
Analyze a set of tasks for potential conflicts.
Called during project planning to identify issues
before work begins.
"""
prediction = ConflictPrediction()
# 1. Check for overlapping file targets
file_targets = self._extract_file_targets(tasks)
for file_path, task_ids in file_targets.items():
if len(task_ids) > 1:
prediction.add_risk(
ConflictRisk(
type=ConflictType.DIRECT,
file_path=file_path,
tasks=task_ids,
probability=0.9, # High probability if same file
recommendation="Split into separate files or merge tasks"
)
)
# 2. Check for shared type usage without contracts
type_usage = self._analyze_type_usage(tasks)
for type_name, usages in type_usage.items():
if len(usages) > 1 and not self.contracts.has_type(type_name):
prediction.add_risk(
ConflictRisk(
type=ConflictType.SEMANTIC,
element=type_name,
tasks=[u.task_id for u in usages],
probability=0.7,
recommendation=f"Define contract for {type_name} before implementation"
)
)
# 3. Check for behavior specification gaps
behaviors = self._extract_behaviors(tasks)
for behavior, task_ids in behaviors.items():
if len(task_ids) > 1 and not self.contracts.has_behavior(behavior):
prediction.add_risk(
ConflictRisk(
type=ConflictType.BEHAVIORAL,
element=behavior,
tasks=task_ids,
probability=0.6,
recommendation=f"Specify expected behavior for '{behavior}'"
)
)
# 4. Check for implicit dependencies
dependencies = self._analyze_dependencies(tasks)
for dep in dependencies:
if dep.is_implicit:
prediction.add_risk(
ConflictRisk(
type=ConflictType.STRUCTURAL,
element=f"{dep.from_task} -> {dep.to_task}",
tasks=[dep.from_task, dep.to_task],
probability=0.5,
recommendation="Make dependency explicit in task ordering"
)
)
return prediction
def _extract_file_targets(
self,
tasks: List['TaskSpecification']
) -> Dict[str, Set[str]]:
"""
Predict which files each task will create/modify.
Uses heuristics based on task description and project structure.
"""
file_targets = {}
for task in tasks:
predicted_files = self._predict_files_for_task(task)
for file_path in predicted_files:
if file_path not in file_targets:
file_targets[file_path] = set()
file_targets[file_path].add(task.task_id)
return file_targets
def _predict_files_for_task(
self,
task: 'TaskSpecification'
) -> Set[str]:
"""
Use AI to predict likely file paths from task description.
"""
prompt = f"""
Given this task specification, predict the file paths that will be created or modified.
Task: {task.task_id}
Description: {task.description}
Track: {task.track}
Project structure conventions:
- Source code: src/
- Tests: tests/
- Contracts: contracts/
- Implementations by track: src/{{track_name}}/
Return a JSON list of predicted file paths.
"""
response = self.ai_service.complete(prompt)
return set(json.loads(response))
4.2 Real-Time Conflict Detection
Monitor for conflicts during code generation:
class RealTimeConflictMonitor:
"""
Monitors agent activity in real-time to detect
emerging conflicts before they're committed.
"""
def __init__(
self,
event_bus: 'EventBus',
provenance_tracker: ProvenanceTracker
):
self.event_bus = event_bus
self.tracker = provenance_tracker
# Track in-progress work
self.active_generations: Dict[str, 'ActiveGeneration'] = {}
# Subscribe to agent events
event_bus.subscribe('agent.file.created', self.on_file_created)
event_bus.subscribe('agent.file.modified', self.on_file_modified)
event_bus.subscribe('agent.type.defined', self.on_type_defined)
event_bus.subscribe('agent.function.defined', self.on_function_defined)
async def on_file_created(self, event: 'FileCreatedEvent') -> None:
"""
Called when an agent creates a new file.
Check if another agent is also creating this file.
"""
file_path = event.file_path
task_id = event.task_id
# Check other active generations
for other_task, other_gen in self.active_generations.items():
if other_task == task_id:
continue
if file_path in other_gen.files_touched:
# CONFLICT: Two agents creating same file
await self._handle_emerging_conflict(
ConflictType.DIRECT,
file_path=file_path,
task1=task_id,
task2=other_task,
severity="HIGH"
)
async def on_type_defined(self, event: 'TypeDefinedEvent') -> None:
"""
Called when an agent defines a type.
Check for conflicting type definitions.
"""
type_name = event.type_name
type_def = event.type_definition
task_id = event.task_id
for other_task, other_gen in self.active_generations.items():
if other_task == task_id:
continue
if type_name in other_gen.types_defined:
other_def = other_gen.types_defined[type_name]
if not self._types_compatible(type_def, other_def):
# CONFLICT: Incompatible type definitions
await self._handle_emerging_conflict(
ConflictType.SEMANTIC,
element=type_name,
task1=task_id,
task2=other_task,
details={
"definition1": type_def,
"definition2": other_def
},
severity="HIGH"
)
async def _handle_emerging_conflict(
self,
conflict_type: ConflictType,
task1: str,
task2: str,
**kwargs
) -> None:
"""
Handle a detected emerging conflict.
Options:
1. Alert both agents to coordinate
2. Pause lower-priority task
3. Request human intervention
4. Let it proceed and resolve at merge
"""
conflict = EmergingConflict(
type=conflict_type,
tasks=[task1, task2],
detected_at=datetime.now(),
**kwargs
)
# Determine response strategy
strategy = self._select_response_strategy(conflict)
if strategy == ConflictStrategy.ALERT:
await self.event_bus.publish('conflict.detected', conflict)
elif strategy == ConflictStrategy.PAUSE_LOWER:
lower_priority = self._get_lower_priority_task(task1, task2)
await self.event_bus.publish(
'agent.pause',
{'task_id': lower_priority, 'reason': conflict}
)
elif strategy == ConflictStrategy.HUMAN_REVIEW:
await self.event_bus.publish('conflict.needs_human', conflict)
# Always log
logger.warning(f"Emerging conflict detected: {conflict}")
4.3 Post-Generation Validation
Comprehensive validation before merge:
class PostGenerationValidator:
"""
Validates generated code before accepting into main.
Runs after agent completes but before Generation Clock
accepts the result.
"""
def __init__(
self,
repo: git.Repo,
contract_registry: 'ContractRegistry',
test_runner: 'TestRunner'
):
self.repo = repo
self.contracts = contract_registry
self.test_runner = test_runner
async def validate(
self,
claim: 'TaskClaim',
branch_name: str
) -> 'ValidationResult':
"""
Comprehensive validation of generated code.
Must pass before result is accepted.
"""
result = ValidationResult(task_id=claim.key.task_id)
# 1. Contract Compliance
contract_result = await self._validate_contracts(branch_name)
result.add_check("contract_compliance", contract_result)
# 2. Type Consistency
type_result = await self._validate_types(branch_name)
result.add_check("type_consistency", type_result)
# 3. Boundary Enforcement
boundary_result = await self._validate_boundaries(branch_name, claim)
result.add_check("boundary_enforcement", boundary_result)
# 4. Test Execution
test_result = await self._run_tests(branch_name)
result.add_check("tests_passing", test_result)
# 5. Merge Simulation
merge_result = await self._simulate_merge(branch_name)
result.add_check("merge_simulation", merge_result)
# 6. Dependency Validation
dep_result = await self._validate_dependencies(branch_name)
result.add_check("dependency_validation", dep_result)
return result
async def _validate_contracts(self, branch: str) -> CheckResult:
"""
Verify implementations match interface contracts.
"""
# Checkout branch
self.repo.heads[branch].checkout()
violations = []
for contract in self.contracts.get_interfaces():
impl = self._find_implementation(contract)
if impl is None:
violations.append(f"Missing implementation for {contract.name}")
continue
# Check method signatures match
for method in contract.methods:
impl_method = self._find_method(impl, method.name)
if impl_method is None:
violations.append(
f"{impl.name} missing method {method.name}"
)
elif not self._signatures_match(method, impl_method):
violations.append(
f"{impl.name}.{method.name} signature mismatch"
)
return CheckResult(
passed=len(violations) == 0,
violations=violations
)
async def _validate_boundaries(
self,
branch: str,
claim: 'TaskClaim'
) -> CheckResult:
"""
Verify code stays within task's assigned boundaries.
Each track has designated directories. Code generation
should not cross boundaries except through contracts.
"""
violations = []
# Get files changed in this branch
changed_files = self._get_changed_files(branch)
# Get allowed paths for this task's track
task_id = TaskIdentifier.parse(claim.key.task_id)
allowed_paths = self._get_allowed_paths(task_id.track)
for file_path in changed_files:
# Check if file is in allowed paths
if not any(file_path.startswith(p) for p in allowed_paths):
# Exception: contracts are always allowed to be used
if not file_path.startswith("contracts/"):
violations.append(
f"File {file_path} outside track {task_id.track} boundary"
)
# Check imports stay within boundary
imports = self._extract_imports(file_path)
for imp in imports:
if self._import_crosses_boundary(imp, task_id.track):
violations.append(
f"Import '{imp}' in {file_path} crosses track boundary"
)
return CheckResult(
passed=len(violations) == 0,
violations=violations
)
async def _simulate_merge(self, branch: str) -> CheckResult:
"""
Simulate merge to main to detect conflicts early.
"""
# Create temporary branch for simulation
temp_branch = f"merge-simulation-{uuid.uuid4().hex[:8]}"
try:
# Create temp branch from main
self.repo.create_head(temp_branch, "main")
self.repo.heads[temp_branch].checkout()
# Attempt merge
try:
self.repo.git.merge(branch, no_commit=True)
# Check for conflict markers in files
conflicts = self._find_conflict_markers()
if conflicts:
return CheckResult(
passed=False,
violations=[f"Merge conflict in: {', '.join(conflicts)}"]
)
return CheckResult(passed=True, violations=[])
except git.GitCommandError as e:
return CheckResult(
passed=False,
violations=[f"Merge failed: {str(e)}"]
)
finally:
# Cleanup
self.repo.git.merge('--abort', ignore_errors=True)
self.repo.heads["main"].checkout()
self.repo.delete_head(temp_branch, force=True)
5. Architectural Patterns for Conflict Prevention
5.1 Module Boundary Pattern
┌─────────────────────────────────────────────────────────────────────────┐
│ MODULE BOUNDARY PATTERN │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ PRINCIPLE: Each track owns exclusive directories │
│ │
│ project/ │
│ ├── contracts/ # SHARED: All tracks read │
│ │ ├── interfaces/ # Interface definitions │
│ │ ├── types/ # Shared type definitions │
│ │ └── behaviors/ # Behavior specifications │
│ │ │
│ ├── src/ │
│ │ ├── track_a/ # EXCLUSIVE: Only Track A writes │
│ │ │ ├── __init__.py │
│ │ │ ├── services/ │
│ │ │ └── internal/ # Private to Track A │
│ │ │ │
│ │ ├── track_b/ # EXCLUSIVE: Only Track B writes │
│ │ │ ├── __init__.py │
│ │ │ ├── services/ │
│ │ │ └── internal/ # Private to Track B │
│ │ │ │
│ │ └── shared/ # SHARED: Architect only │
│ │ ├── __init__.py │
│ │ └── utils/ # Common utilities │
│ │ │
│ └── tests/ │
│ ├── track_a/ # Track A's tests │
│ ├── track_b/ # Track B's tests │
│ └── integration/ # Cross-track tests (Architect) │
│ │
│ RULES: │
│ 1. Track X agents can ONLY write to src/track_x/ │
│ 2. Track X agents can READ from contracts/ and src/shared/ │
│ 3. Track X agents CANNOT import from src/track_y/ │
│ 4. Cross-track communication ONLY through contracts/interfaces │
│ │
└─────────────────────────────────────────────────────────────────────────┘
5.2 Contract-First Pattern
# contracts/interfaces/user_service.py
# CREATED BY: Architect Agent BEFORE implementation begins
# IMMUTABLE: Cannot be modified by implementation agents
from abc import ABC, abstractmethod
from typing import Optional
from contracts.types.user import User, UserId
from contracts.types.errors import UserNotFoundError
class IUserService(ABC):
"""
User service interface.
All implementations MUST:
1. Accept UserId (UUID) as identifier
2. Raise UserNotFoundError for missing users (not return None)
3. Return User type exactly as defined in contracts/types/user.py
Behavior specifications: See contracts/behaviors/user_service.md
"""
@abstractmethod
async def get_user(self, user_id: UserId) -> User:
"""
Get user by ID.
Args:
user_id: The user's unique identifier (UUID)
Returns:
User object
Raises:
UserNotFoundError: If user does not exist
"""
pass
@abstractmethod
async def create_user(self, email: str, name: str) -> User:
"""
Create a new user.
Args:
email: User's email (must be unique)
name: User's display name
Returns:
Newly created User object
Raises:
DuplicateEmailError: If email already exists
"""
pass
# contracts/types/user.py
# SHARED TYPE DEFINITIONS
from dataclasses import dataclass
from uuid import UUID
from datetime import datetime
from typing import NewType
# Explicit type for user IDs - prevents int vs str vs UUID confusion
UserId = NewType('UserId', UUID)
@dataclass(frozen=True)
class User:
"""
User entity.
This is the CANONICAL definition. All implementations
must use this exact structure.
"""
id: UserId
email: str
name: str
created_at: datetime
# Explicitly define what fields are optional
avatar_url: str | None = None
# Explicitly define serialization
def to_dict(self) -> dict:
return {
"id": str(self.id),
"email": self.email,
"name": self.name,
"created_at": self.created_at.isoformat(),
"avatar_url": self.avatar_url
}
5.3 Dependency Injection Pattern
# src/shared/container.py
# CREATED BY: Architect Agent
# DEFINES: How implementations are wired together
from dependency_injector import containers, providers
from contracts.interfaces.user_service import IUserService
from contracts.interfaces.auth_service import IAuthService
class Container(containers.DeclarativeContainer):
"""
Dependency injection container.
RULES:
1. All services bound to their INTERFACES, not implementations
2. Implementations provided by each track's module
3. Cross-track dependencies ONLY through this container
"""
config = providers.Configuration()
# Database (shared infrastructure)
database = providers.Singleton(
Database,
connection_string=config.database.url
)
# Track A provides: Auth implementations
auth_service: providers.Provider[IAuthService] = providers.Dependency()
# Track B provides: User implementations
user_service: providers.Provider[IUserService] = providers.Dependency()
# Track C provides: Settings implementations
settings_service: providers.Provider[ISettingsService] = providers.Dependency()
# src/track_a/module.py
# Track A's contribution to the container
from containers import Container
from .services.auth_service import AuthServiceImpl
def configure_track_a(container: Container) -> None:
"""
Configure Track A's implementations.
Called during application startup.
"""
container.auth_service.override(
providers.Factory(
AuthServiceImpl,
database=container.database,
user_service=container.user_service # Depends on Track B
)
)
# src/track_b/module.py
# Track B's contribution
from containers import Container
from .services.user_service import UserServiceImpl
def configure_track_b(container: Container) -> None:
"""Configure Track B's implementations."""
container.user_service.override(
providers.Factory(
UserServiceImpl,
database=container.database
)
)
5.4 Event-Driven Decoupling Pattern
# contracts/events/user_events.py
# DEFINED BY: Architect Agent
# USED BY: All tracks that care about user events
from dataclasses import dataclass
from datetime import datetime
from contracts.types.user import UserId
@dataclass(frozen=True)
class UserCreatedEvent:
"""
Emitted when a new user is created.
Subscribers:
- Track B (Profile): Create default profile
- Track C (Settings): Create default settings
- Track E (Analytics): Record signup
"""
user_id: UserId
email: str
created_at: datetime
event_type: str = "user.created"
@dataclass(frozen=True)
class UserDeletedEvent:
"""
Emitted when a user is deleted.
Subscribers should clean up related data.
"""
user_id: UserId
deleted_at: datetime
event_type: str = "user.deleted"
# src/track_a/services/auth_service.py
# Track A EMITS events
class AuthServiceImpl(IAuthService):
def __init__(self, event_bus: EventBus, ...):
self.event_bus = event_bus
async def create_user(self, email: str, name: str) -> User:
user = await self._create_user_in_db(email, name)
# Emit event - other tracks will react
await self.event_bus.publish(UserCreatedEvent(
user_id=user.id,
email=user.email,
created_at=user.created_at
))
return user
# src/track_b/services/profile_service.py
# Track B SUBSCRIBES to events
class ProfileServiceImpl(IProfileService):
def __init__(self, event_bus: EventBus, ...):
event_bus.subscribe("user.created", self._on_user_created)
async def _on_user_created(self, event: UserCreatedEvent) -> None:
"""React to user creation by creating default profile."""
await self.create_default_profile(event.user_id)
6. The Complete Happy Path
6.1 Step-by-Step Flow
═══════════════════════════════════════════════════════════════════════════
COMPLETE HAPPY PATH WORKFLOW
═══════════════════════════════════════════════════════════════════════════
STEP 1: PROJECT INITIALIZATION
────────────────────────────────────────────────────────────────────────────
Actor: Architect Agent
Input: High-level requirements
Output: Project structure + contracts + task decomposition
Actions:
├── Create project skeleton with track directories
├── Define interface contracts for all cross-track interactions
├── Define shared types with explicit schemas
├── Define behavior specifications for ambiguous cases
├── Decompose into tasks assigned to tracks
├── Identify task dependencies (within and across tracks)
└── Commit contracts to main branch
Deliverables committed to main:
├── contracts/interfaces/*.py
├── contracts/types/*.py
├── contracts/behaviors/*.md
├── src/shared/container.py
└── project_plan.yaml (task definitions with dependencies)
STEP 2: TASK QUEUE POPULATION
────────────────────────────────────────────────────────────────────────────
Actor: Orchestrator Service
Input: project_plan.yaml
Output: Task queue with proper ordering
Actions:
├── Parse project plan
├── Build dependency graph
├── Calculate execution order (topological sort)
├── Identify parallelizable task groups
└── Populate task queue respecting dependencies
Task Queue State:
├── Ready: [A-001, B-001, C-001] # No dependencies, can run parallel
├── Blocked: [A-002 (needs A-001), B-002 (needs B-001, A-001)]
└── Future: [Integration tasks...]
STEP 3: PARALLEL AGENT EXECUTION
────────────────────────────────────────────────────────────────────────────
Actor: Worker Agents (one per track)
Input: Task specification + contracts from main
Output: Implementation in track branch
For each agent:
├── Claim task via Generation Clock
├── Create branch: task/[TASK_ID]/gen-[N]/[SESSION]
├── Pull latest contracts from main
├── Generate implementation following contracts
├── Write code ONLY to assigned track directory
├── Run local tests (track-specific + contract compliance)
├── Commit with provenance metadata
└── Submit result to Generation Clock
Example parallel execution:
┌─────────────────────┬─────────────────────┬─────────────────────┐
│ Track A │ Track B │ Track C │
├─────────────────────┼─────────────────────┼─────────────────────┤
│ Task: A-001 │ Task: B-001 │ Task: C-001 │
│ Create auth service │ Create user service │ Create settings svc │
│ │ │ │
│ Files created: │ Files created: │ Files created: │
│ src/track_a/ │ src/track_b/ │ src/track_c/ │
│ auth_service.py │ user_service.py │ settings_svc.py │
│ token_manager.py │ user_repo.py │ prefs_store.py │
│ │ │ │
│ NO CONFLICTS: │ NO CONFLICTS: │ NO CONFLICTS: │
│ Different dirs │ Different dirs │ Different dirs │
└─────────────────────┴─────────────────────┴─────────────────────┘
STEP 4: VALIDATION (Per Task)
────────────────────────────────────────────────────────────────────────────
Actor: Validation Service
Input: Task branch
Output: Validation result (pass/fail)
Validation checks:
├── Contract compliance: Implementation matches interface
├── Type consistency: Uses shared types correctly
├── Boundary enforcement: No cross-track imports
├── Test execution: All tests pass
├── Merge simulation: No conflicts with main
└── Dependency check: Required packages compatible
On pass: Result accepted by Generation Clock
On fail: Agent notified, can retry (new generation)
STEP 5: MERGE TO MAIN (Sequential)
────────────────────────────────────────────────────────────────────────────
Actor: Merge Service
Input: Validated task branches
Output: Updated main branch
Merge order: Respects task dependencies
├── A-001, B-001, C-001 (parallel, no deps) → merge in any order
├── A-002 (needs A-001) → merge after A-001
├── B-002 (needs B-001, A-001) → merge after both
└── Integration tasks → merge last
Each merge:
├── Fast-forward if possible (no conflicts)
├── Otherwise recursive merge with conflict detection
├── Run full integration test suite
├── Tag with work product reference
└── Update dependency status for blocked tasks
STEP 6: UNBLOCK DEPENDENT TASKS
────────────────────────────────────────────────────────────────────────────
Actor: Orchestrator Service
Input: Merged task completion events
Output: Newly unblocked tasks
When task completes:
├── Update dependency graph
├── Check if any blocked tasks now have all deps satisfied
├── Move satisfied tasks to Ready queue
└── Notify available agents
Example:
├── A-001 completes → A-002 unblocked
├── B-001 completes → (B-002 still blocked on A-001)
├── A-001 + B-001 complete → B-002 unblocked
STEP 7: INTEGRATION PHASE
────────────────────────────────────────────────────────────────────────────
Actor: Integration Agent
Input: All track implementations in main
Output: Wired application
Actions:
├── Verify all interfaces have implementations
├── Configure dependency injection container
├── Wire event subscriptions
├── Run full integration test suite
├── Run end-to-end tests
└── Generate deployment artifacts
═══════════════════════════════════════════════════════════════════════════
RESULT: COHESIVE CODEBASE
═══════════════════════════════════════════════════════════════════════════
Final state:
├── All code in main branch
├── Each file traceable to exactly one task
├── No conflicts (prevented by architecture)
├── All implementations conform to contracts
├── All tests passing
├── Complete provenance trail
└── Ready for deployment
6.2 Why This Works
┌─────────────────────────────────────────────────────────────────────────┐
│ WHY THE HAPPY PATH WORKS │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ CONFLICT PREVENTION MECHANISMS │
│ ═══════════════════════════════ │
│ │
│ 1. EXCLUSIVE DIRECTORIES │
│ Each track owns its directory exclusively. │
│ Agents cannot create files outside their track. │
│ Result: Zero direct file conflicts. │
│ │
│ 2. CONTRACTS FIRST │
│ All interfaces defined before implementation. │
│ Agents implement TO contracts, not around them. │
│ Result: Zero semantic conflicts on interfaces. │
│ │
│ 3. SHARED TYPES │
│ All shared types defined in contracts/types/. │
│ Agents use these types, don't redefine them. │
│ Result: Zero type definition conflicts. │
│ │
│ 4. BEHAVIOR SPECIFICATIONS │
│ Ambiguous behaviors documented upfront. │
│ Agents follow specifications, don't invent. │
│ Result: Zero behavioral conflicts. │
│ │
│ 5. DEPENDENCY ORDERING │
│ Tasks merged in dependency order. │
│ Later tasks see earlier work in main. │
│ Result: Zero order-dependent conflicts. │
│ │
│ 6. GENERATION CLOCK │
│ Only one agent can own a task at a time. │
│ Stale work automatically rejected. │
│ Result: Zero duplicate work conflicts. │
│ │
│ ───────────────────────────────────────────────────────────────────── │
│ │
│ NON-DETERMINISM MANAGEMENT │
│ ═══════════════════════════ │
│ │
│ Non-determinism is ALLOWED within boundaries: │
│ │
│ ✓ HOW an agent implements an interface (flexibility) │
│ ✓ Internal structure within a track (agent choice) │
│ ✓ Algorithm selection for a task (agent optimization) │
│ ✓ Code style within guidelines (agent preference) │
│ │
│ Non-determinism is CONSTRAINED at boundaries: │
│ │
│ ✗ Interface method signatures (must match contract) │
│ ✗ Shared type structures (must match definition) │
│ ✗ Error handling behavior (must match specification) │
│ ✗ File locations (must be in assigned track) │
│ ✗ Cross-track imports (must go through contracts) │
│ │
│ Result: Freedom where it doesn't matter, control where it does. │
│ │
└─────────────────────────────────────────────────────────────────────────┘
7. Handling Edge Cases
7.1 When Conflicts DO Occur
Despite prevention, some conflicts are unavoidable:
class ConflictRecoveryService:
"""
Handles conflicts that slip through prevention measures.
"""
async def handle_conflict(
self,
conflict: 'DetectedConflict'
) -> 'ResolutionResult':
"""
Resolve a detected conflict.
Resolution hierarchy:
1. Automatic resolution if possible
2. AI-assisted resolution for semantic conflicts
3. Human escalation for architectural conflicts
"""
if conflict.type == ConflictType.DIRECT:
# Same file modified - use generation precedence
return await self._resolve_by_generation(conflict)
elif conflict.type == ConflictType.SEMANTIC:
# Incompatible assumptions - AI reconciliation
return await self._ai_reconcile(conflict)
elif conflict.type == ConflictType.STRUCTURAL:
# Architectural mismatch - needs human
return await self._escalate_to_human(conflict)
elif conflict.type == ConflictType.BEHAVIORAL:
# Different behaviors - check behavior specs
return await self._resolve_by_spec(conflict)
elif conflict.type == ConflictType.DEPENDENCY:
# Package conflicts - automated resolution
return await self._resolve_dependencies(conflict)
async def _resolve_by_generation(
self,
conflict: 'DetectedConflict'
) -> 'ResolutionResult':
"""
Resolve using Generation Clock precedence.
Higher generation wins for same-task conflicts.
For different-task conflicts, use task priority.
"""
task_generations = {
task: self._get_generation(task)
for task in conflict.tasks
}
if self._same_task(conflict.tasks):
# Same task, different generations
winner = max(task_generations.items(), key=lambda x: x[1])
return ResolutionResult(
strategy="generation_precedence",
winner=winner[0],
action="use_higher_generation"
)
else:
# Different tasks, use dependency order
winner = self._get_earlier_in_dependency_order(conflict.tasks)
return ResolutionResult(
strategy="dependency_order",
winner=winner,
action="merge_later_task_must_adapt"
)
async def _ai_reconcile(
self,
conflict: 'DetectedConflict'
) -> 'ResolutionResult':
"""
Use AI to reconcile semantic conflicts.
"""
prompt = f"""
Two agents made incompatible assumptions. Reconcile them.
Conflict type: {conflict.type}
Files involved: {conflict.files}
Task 1: {conflict.tasks[0]}
Code:
```
{conflict.code_snippets[0]}
```
Task 2: {conflict.tasks[1]}
Code:
```
{conflict.code_snippets[1]}
```
Contract requirements:
{conflict.relevant_contracts}
Provide reconciled code that:
1. Satisfies the contract
2. Incorporates intent from both tasks
3. Is consistent and functional
"""
reconciled = await self.ai_service.complete(prompt)
return ResolutionResult(
strategy="ai_reconciliation",
reconciled_code=reconciled,
action="replace_conflicting_code"
)
7.2 Rework Minimization
class ReworkMinimizer:
"""
Strategies to minimize wasted work when conflicts occur.
"""
async def on_conflict_detected(
self,
conflict: 'DetectedConflict',
in_progress_claims: List['TaskClaim']
) -> List['ReworkAction']:
"""
When a conflict is detected, determine how to minimize rework.
"""
actions = []
# 1. Identify which in-progress work will be affected
affected_tasks = self._find_affected_tasks(
conflict, in_progress_claims
)
for task in affected_tasks:
# 2. Calculate rework cost
cost = await self._estimate_rework_cost(task)
if cost.percentage < 0.2:
# Less than 20% rework - continue and adapt
actions.append(ReworkAction(
task=task,
action="continue_with_adaptation",
adaptation_instructions=self._generate_adaptation(conflict)
))
elif cost.percentage < 0.5:
# 20-50% rework - checkpoint and pause
actions.append(ReworkAction(
task=task,
action="checkpoint_and_pause",
resume_after=conflict.resolution_eta
))
else:
# >50% rework - abort and restart after resolution
actions.append(ReworkAction(
task=task,
action="abort_and_queue_restart",
restart_after=conflict.resolution
))
return actions
async def salvage_rejected_work(
self,
rejected_result: 'TaskResult'
) -> 'SalvageResult':
"""
Extract reusable components from rejected work.
Even rejected generations may have valuable code
that can be incorporated into the accepted version.
"""
# Get the rejected code
rejected_code = await self._get_rejected_code(rejected_result)
# Get the accepted code
accepted_code = await self._get_accepted_code(rejected_result.key)
# Use AI to identify salvageable components
prompt = f"""
A task was completed by two agents. The first was rejected
due to generation conflict. Identify any valuable code from
the rejected version that could enhance the accepted version.
REJECTED (generation {rejected_result.generation}):
```
{rejected_code}
```
ACCEPTED (current main):
```
{accepted_code}
```
Identify:
1. Better implementations of specific functions
2. Additional edge case handling
3. Better error messages
4. Performance optimizations
5. Additional test cases
Return as JSON with salvageable components.
"""
salvageable = await self.ai_service.complete(prompt)
return SalvageResult(
components=json.loads(salvageable),
can_create_enhancement_task=True
)
8. Metrics and Monitoring
8.1 Conflict Metrics
@dataclass
class ConflictMetrics:
"""
Metrics for monitoring conflict rates and resolution.
"""
# Prevention effectiveness
conflicts_prevented: int # By architecture
conflicts_detected_early: int # Before completion
conflicts_at_merge: int # At merge time
# Resolution metrics
auto_resolved: int # Automatic resolution
ai_resolved: int # AI-assisted resolution
human_resolved: int # Required human intervention
# Rework metrics
tasks_restarted: int # Full restart required
tasks_adapted: int # Continued with adaptation
work_hours_lost: float # Estimated lost work
# By conflict type
by_type: Dict[ConflictType, int]
@property
def prevention_rate(self) -> float:
"""Percentage of potential conflicts prevented."""
total = (self.conflicts_prevented +
self.conflicts_detected_early +
self.conflicts_at_merge)
if total == 0:
return 1.0
return self.conflicts_prevented / total
@property
def auto_resolution_rate(self) -> float:
"""Percentage of conflicts resolved automatically."""
total = self.auto_resolved + self.ai_resolved + self.human_resolved
if total == 0:
return 1.0
return (self.auto_resolved + self.ai_resolved) / total
8.2 Health Dashboard
┌─────────────────────────────────────────────────────────────────────────┐
│ MULTI-AGENT CODE GENERATION HEALTH │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ CONFLICT PREVENTION │
│ ═══════════════════ │
│ Prevention Rate: ████████████████████░░░░░ 92% │
│ Early Detection: ██████████████████░░░░░░░ 85% │
│ Merge Conflicts: ██░░░░░░░░░░░░░░░░░░░░░░░ 8% │
│ │
│ RESOLUTION METRICS │
│ ══════════════════ │
│ Auto-Resolved: ████████████████████░░░░░ 78% │
│ AI-Assisted: ████████░░░░░░░░░░░░░░░░░ 18% │
│ Human Required: █░░░░░░░░░░░░░░░░░░░░░░░░ 4% │
│ │
│ REWORK METRICS │
│ ═════════════ │
│ Tasks Completed: 147 │
│ Tasks Restarted: 3 (2.0%) │
│ Tasks Adapted: 8 (5.4%) │
│ Work Hours Lost: 4.2 hrs (0.8% of total) │
│ │
│ ACTIVE CONFLICTS │
│ ════════════════ │
│ [!] SEMANTIC: Task B-003 vs C-002 (AI resolving...) │
│ [✓] DIRECT: Task A-005 resolved via generation precedence │
│ │
│ TRACK HEALTH │
│ ════════════ │
│ Track A: ████████████████████ 100% (12/12 tasks) │
│ Track B: ██████████████████░░ 90% (18/20 tasks) │
│ Track C: ████████████████░░░░ 80% (8/10 tasks) │
│ Track D: ██████████░░░░░░░░░░ 50% (5/10 tasks) │
│ │
└─────────────────────────────────────────────────────────────────────────┘
9. Summary: The Optimal Path
9.1 Key Principles
- Prevent > Detect > Resolve: Design to prevent conflicts, not just handle them
- Contracts First: Define interfaces before implementation
- Exclusive Boundaries: Each track owns its territory
- Constrained Non-Determinism: Freedom within guardrails
- Generation Precedence: Higher generation always wins
- Complete Provenance: Every line traceable to origin
9.2 The Formula
COHESIVE CODEBASE =
Architect Agent (contracts + structure)
+ Exclusive Track Boundaries (conflict prevention)
+ Shared Type Definitions (semantic consistency)
+ Contract Compliance Validation (enforcement)
+ Generation Clock (conflict resolution)
+ Provenance Tracking (traceability)
+ Continuous Integration (early detection)
9.3 Expected Outcomes
| Metric | Without Strategy | With Strategy |
|---|---|---|
| Direct conflicts | 30-50% of tasks | <5% of tasks |
| Semantic conflicts | 20-40% of tasks | <10% of tasks |
| Rework rate | 25-40% | <5% |
| Human intervention | 15-30% | <5% |
| Work lost to conflicts | 20-35% | <3% |
| Time to cohesive codebase | Unpredictable | Predictable |
Document Version: 1.0 | Last Updated: January 2026