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All Solution Plays

Play 51

Autonomous Coding Agent

Very High Ready

AI-powered issue-to-PR pipeline with human-in-the-loop approval.

Autonomous coding agent that converts GitHub issues into complete pull requests. Uses multi-agent orchestration for planning, coding, testing, and review with iterative refinement. Supports multi-file changes, test generation, and human-in-the-loop approval gates. Integrates with GitHub Actions for CI validation and Azure Container Apps for agent hosting.

Architecture Pattern

Multi-agent orchestration: plan → code → test → review cycle with human approval gates

Azure Services

Azure OpenAI (gpt-4o)GitHub ActionsContainer AppsAzure Monitor

DevKit (.github Agentic OS)

  • agent.md — root orchestrator with builder→reviewer→tuner handoffs
  • 3 agents — Coding Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
  • 3 skills — deploy (213 lines), evaluate (144 lines), tune (211 lines)
  • 4 prompts — /deploy, /test, /review, /evaluate with agent routing
  • .vscode/mcp.json — FrootAI MCP with GitHub token + OpenAI key inputs + envFile

TuneKit (AI Config)

  • config/openai.json — code generation temperature, token budget
  • config/guardrails.json — code safety, review thresholds
  • evaluation/eval.py — Code correctness >85%, Test pass rate >90%

Tuning Parameters

Code generation temperatureMax iteration cyclesTest coverage thresholdReview strictness levelToken budget per PR

Estimated Cost

Dev/Test

$80–120/mo

Production

$2K–5K/mo