ADW System: Autonomous Developer Workflows
Production-grade multi-agent platform that transforms GitHub issues into working code through autonomous SDLC phases. Built on agentic coding principles with intelligent model routing (Claude Sonnet/Opus) achieving 70-78% token cost reduction.
Key Impact: 12x speed improvement (60 min → 5 min) | 70-78% token reduction | 6,500+ lines of production code
Overview
Built on agentic coding principles, this production-grade platform transforms requirements into working code through autonomous multi-phase workflows. Features intelligent model routing (Sonnet/Opus) achieving 70-78% token cost reduction, pattern library matching for 90% first-attempt success rates, 14 composable workflow orchestrators, 35+ slash commands, and git worktree isolation for 15 parallel workflows.
Challenges
- ●Designing multi-phase autonomous workflows that maintain code quality
- ●Implementing intelligent model routing to optimize cost vs capability
- ●Building pattern library matching for consistent first-attempt success
- ●Creating robust git worktree isolation for parallel workflow execution
Results
- ✓Achieved 12x speed improvement on bug fixes (60 min → 5 min)
- ✓Reduced token costs by 70-78% through intelligent model routing
- ✓Built 6,500+ lines of production-grade code
- ✓90% first-attempt success rate through pattern library matching
Interested in learning more about this project?
Let's Chat