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CODITECT Research Index - Master Catalog

Purpose: Centralized navigation and discovery system for all CODITECT research Audience: Contributors, AI Agents, Research Team Last Updated: December 22, 2025

Quick Navigation​

CategoryDocument CountKey TopicsPrimary Document
Anthropic Research48Claude patterns, memory systems, agent skillsANTHROPIC-RESEARCH-SUMMARY.md
Technical Research15Infrastructure, performance, architectureTECHNICAL-RESEARCH-SUMMARY.md
Market Research5Competitive analysis, market sizing, positioningMARKET-RESEARCH-SUMMARY.md
Business Cases4ROI analysis, metrics, dashboardsbusiness/README.md
Academic Papers8UQ, MOE, memory frameworksACADEMIC-RESEARCH-REFERENCES-UQ-MOE-2024-2025.md

Total Active Research: ~80 documents across 36 directories Archive Status: 87% reduction target (144 → 20 files in active research)

Research Categories​

1. Anthropic Research (anthropic-research/)​

Focus: Official Anthropic patterns, Claude Code best practices, multi-agent systems

Master Document: ANTHROPIC-RESEARCH-SUMMARY.md

Key Topics:

  • Claude Code automation patterns
  • Multi-session continuity
  • Agent skills architecture
  • Memory frameworks (mem0, LangMem, Memobase)
  • Tool use patterns
  • Prompt engineering

Key Files:

Research Papers:

  • A-MEM: Agentic Memory for LLM Agents
  • Memp: Exploring Agent Procedural Memory
  • Nested Learning: A New ML Paradigm for Continual Learning

Use Cases:

  • When implementing new agent patterns
  • When optimizing multi-session workflows
  • When researching memory system approaches
  • When validating against Anthropic best practices

2. Technical Research (Various Directories)​

Focus: Infrastructure, performance optimization, system architecture

Master Document: TECHNICAL-RESEARCH-SUMMARY.md

Key Topics:

Infrastructure & Deployment​

  • OpenTofu/Terraform infrastructure analysis
  • Multi-tenant context architecture
  • GCP infrastructure inventory
  • Docker development environments

Key Files:

Performance & Optimization​

  • Session deduplication analysis
  • Parallel task execution enhancement
  • JSONL processing workflows

Key Files:

Memory & Context Systems​

  • Catastrophic forgetting research
  • LMS (Learning Management System) design
  • Context database architecture

Key Files:

3. Market Research (market-research/)​

Focus: Competitive landscape, market sizing, positioning strategy

Master Document: MARKET-RESEARCH-SUMMARY.md

Key Topics:

  • GenAI context memory market analysis
  • SaaS framework comparisons
  • Competitive differentiation

Key Files:

Use Cases:

  • Competitive analysis
  • Market positioning
  • Feature prioritization
  • Partnership evaluation

4. Business Cases (business/)​

Focus: ROI analysis, financial modeling, metrics dashboards

Master Document: business/README.md

Key Topics:

  • Anti-forgetting memory system business case
  • Market opportunity analysis (TAM/SAM/SOM)
  • Financial projections and unit economics
  • Success metrics and KPIs

Key Files:

Key Metrics:

  • TAM: $2.7B
  • Year 1 Revenue: $1.79M
  • LTV:CAC: 6.2x
  • EBITDA Margin: 25% → 35%

5. Academic Research (Root Directory)​

Focus: Academic papers, uncertainty quantification, MOE frameworks

Key Files:

Topics:

  • Uncertainty quantification in LLMs
  • Mixture of Experts (MOE) architectures
  • Agent skills standards
  • GDP validation grading methodology

6. System Architecture Research (Various)​

Focus: System design, patterns, frameworks

Key Topics:

Agent Skills & Standards​

Multi-Agent Patterns​

External Pattern Analysis​

7. Quality & Audits (Root Directory)​

Focus: Component quality, strategic alignment, value assessment

Key Files:

8. Industry Analysis (az1.ai-coditect-A16Z-response/)​

Focus: Market positioning, competitive response, strategic impact

Key Files:

9. Specialized Research (Various)​

Generative UI​

  • generative-ui/ - Opus 4.5 generative UI research (15+ artifacts)
  • Google AI Generative Views analysis

Submodule Management​

Gap Analysis​

Session Analysis​

Research Workflow Guidelines​

For AI Agents​

When to consult research:

  1. Before implementing new features → Check technical research
  2. When optimizing workflows → Review Anthropic patterns
  3. For competitive analysis → Consult market research
  4. When planning architecture → Review ADRs + technical research
  5. For business justification → Reference business cases

Citation format:

**Research Source:** [Document Name](path/to/doc.md)
**Date:** YYYY-MM-DD
**Key Finding:** [One-sentence summary]
**Relevance:** [Why this matters for current work]

For Contributors​

Adding new research:

  1. Create document with frontmatter (see template below)
  2. Add to appropriate category in this index
  3. Update summary document if major finding
  4. Tag with keywords for discoverability

Research frontmatter template:

---
title: "Research Title"
audience: contributor
type: research
tokens: ~X000
summary: "One-line summary for AI agents"
when_to_read: "When to reference this research"
keywords: [keyword1, keyword2, ...]
research_status: [active|completed|archived]
research_date: YYYY-MM-DD
---

Archive Strategy​

Files Moved to Archive (2025-12-22)​

Target: 87% reduction (144 → 20 active files)

Archived categories:

  • Completed research projects
  • Superseded analyses
  • One-time audits and assessments
  • Historical reference materials
  • Large PDF/image artifacts

Archive location: internal/archive/research/

Archive structure:

internal/archive/research/
├── 2024/           # Year-based organization
├── 2025/
├── anthropic/      # Historical Anthropic research
├── audits/         # Completed audits
├── business/       # Superseded business cases
└── artifacts/      # PDFs, images, large files

Maintenance​

Update frequency:

  • This index: Monthly or after major research additions
  • Summary documents: Quarterly
  • Archive review: Annual

Next review: March 2026

Maintainer: CODITECT Research Team

Internal (Contributor)​

Customer Documentation​

Version: 1.0.0 Last Updated: December 22, 2025 Status: Active Classification: Internal - Contributors Only