77 docs tagged with "devops"

Scan directory tree for Git repositories and generate health audit report

Generate complete, customer-facing release notes from merged pull requests. Categorizes changes, highlights breaking changes, includes migration instructions, and links to relevant PRs.

Design and implement A/B test for model comparison including experimental design, traffic splitting, statistical power analysis, and significance testing.

Enable data analysts to perform ad-hoc analysis with data access, SQL/Python notebooks, visualization tools, and sharing capabilities.

| Field | Value |

Status: Accepted

Status

Context and Problem Statement

Implement automated anomaly detection for metrics and KPIs using statistical methods, ML models, alerting, and root cause analysis.

Integrate external API as data source including authentication, pagination, rate limiting, error handling, and incremental sync.

Build reusable API integration framework with authentication, request/response handling, rate limiting, circuit breaker, and monitoring.

Build marketing attribution model to understand channel contribution including multi-touch attribution, model comparison, and ROI calculation.

Automate report generation and distribution with scheduling, templating, data refresh, export to multiple formats, and email delivery.

Implement automated backup and disaster recovery including full/incremental backups, point-in-time recovery, backup testing, and restoration procedures.

Automate infrastructure and database backups with scheduling, encryption, versioning, and restore testing.

Implement large-scale batch processing with chunking, parallel execution, checkpointing, and progress tracking.

Task ID: A.4.5

Table of Contents

You are a Changelog Generator responsible for producing and maintaining a CHANGELOG.md file following the Keep a Changelog format. You parse commits and merged PRs, auto-categorize entries, and append

Build CI/CD pipeline with automated testing, building, deployment, rollback capability, and deployment gates.

Perform cohort analysis to understand user behavior over time including cohort definition, metric calculation, retention analysis, and visualization.

Deploy containerized applications with Kubernetes including cluster setup, deployment manifests, service discovery, and auto-scaling.

Automated deployment pipeline to staging and production

Set up or update CI pipeline for automated testing and validation

Analyze and optimize cloud infrastructure costs with rightsizing, reserved instances, spot instances, and resource cleanup.

Build interactive dashboards with KPIs, charts, filters, drill-down capability, and automatic refresh using BI tools.

Implement data governance framework including data catalog, lineage tracking, access control, PII detection, and compliance policies.

Migrate data between systems/databases including extraction, transformation, validation, incremental sync, and cutover planning.

Optimize data pipeline and query performance including indexing, partitioning, caching, query tuning, and infrastructure scaling.

Implement comprehensive data quality validation including schema validation, null checks, range checks, uniqueness constraints, and referential integrity.

Build reusable visualization component library with consistent styling, interactivity, responsiveness, and accessibility.

Manage data warehouse including star/snowflake schema design, fact/dimension tables, SCD handling, and OLAP optimization.

Automated dataset preparation including data collection, cleaning, labeling, augmentation, and splitting for ML model training.

Rollback failed deployment to previous stable version

Rollback failed deployment to previous stable version

Version: 1.0.0

Version: 1.0.0

Implement comprehensive disaster recovery strategy with backup sites, failover procedures, RTO/RPO targets, and regular DR drills.

Build comprehensive error handling system with retry strategies, circuit breakers, dead letter queues, and error analytics.

Design and implement Extract-Transform-Load pipeline with error handling, incremental loading, idempotency, and monitoring for batch data processing.

Systematic feature engineering including selection, transformation, encoding, scaling, and dimensionality reduction with feature importance analysis.

Build time series forecasting pipeline including data preparation, model selection, training, validation, and automated forecast generation.

Analyze conversion funnels to identify drop-off points including funnel definition, step tracking, conversion calculation, and optimization recommendations.

Periodic trigger for scripts/git_audit.py to maintain Git repository hygiene across the CODITECT ecosystem.

Provision cloud infrastructure using IaC (Terraform, CloudFormation)

Workflow ID: WF-INSTALL-001

**Version:** 1.0.0

Automates the complete lifecycle of CODITECT install script maintenance - from error report to GCS deployment.

Set up automated KPI tracking with data collection, calculation, trend analysis, target monitoring, and alerting on deviations.

Set up centralized logging with log collection, parsing, indexing, searching, and retention policies.

Deploy trained ML model to production including containerization, API endpoint creation, load balancing, versioning, and rollback capability.

Comprehensive model evaluation using cross-validation, multiple metrics, confusion matrices, ROC/PR curves, and performance comparison against baselines.

Fine-tune pre-trained models on custom datasets including transfer learning, learning rate scheduling, early stopping, and model comparison.

Set up continuous monitoring for deployed models including data drift detection, concept drift detection, performance degradation alerts, and automated retraining triggers.

Complete supervised learning model training pipeline from data ingestion to model artifact storage with experiment tracking and hyperparameter optimization.

Implement automated monitoring with health checks, metric collection, alerting rules, and incident automation.

Deploy full observability stack with metrics (Prometheus), logs (Loki), traces (Jaeger), and dashboards (Grafana).

Set up application monitoring, logging, and alerting

Synchronize data across multiple systems with conflict resolution, eventual consistency, change detection, and sync monitoring.

Implement multi-channel notification system (email, SMS, Slack, webhook) with templating, scheduling, and delivery tracking.

Version: 1.0.0

Execute multiple tasks in parallel using isolated git worktrees. Each agent operates in separate working directory preventing file conflicts while sharing re...

Version: 1.0.0

Systematic prompt engineering for LLMs including prompt design, few-shot examples, chain-of-thought prompting, evaluation, and version control.

Set up message queue system with topic-based routing, consumer groups, priority queues, and visibility timeout management.

Build end-to-end Retrieval-Augmented Generation pipeline including document ingestion, chunking, embedding, vector store, retrieval, and LLM integration.

Build real-time data streaming pipeline using Kafka/Kinesis including producers, consumers, stream processing, and exactly-once semantics.

You are a Release Notes Generator responsible for producing complete, customer-facing release notes from merged pull requests. You categorize changes, highlight breaking changes, include migration ins

Implement auto-scaling policies with horizontal and vertical scaling, load-based triggers, and cost optimization.

Set up cron-based or interval-based job scheduling with dependency management, concurrency control, and execution history.

Database schema version control, migration generation, rollback capability, and schema documentation for evolving data models.

Apply security best practices to infrastructure including OS hardening, firewall configuration, secret management, and compliance scanning.

Automate server provisioning with infrastructure-as-code, configuration management, security hardening, and idempotency.

System Prompt

Priority: LOW — Begins Sprint 5

Implement webhook receiver with signature verification, event processing, idempotency, queuing, and failure recovery.

Design and implement business process automation including workflow orchestration, task scheduling, dependency management, and error recovery.