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Architecting the technical foundation for Autonomous SDLC - AI systems that understand context, enrich requirements, and execute validated changes. - Chose hybrid architecture over full autonomy → Recognized that forcing 100% autonomous execution produces noise; built intelligent human-in-loop gates for uncertain decisions - Created Agentic Workflow engine → Orchestrates AI agents across full SDLC: requirement enrichment → task breakdown → code generation → validation - Built autonomous triage system → Identifies which tasks execute end-to-end autonomously vs. which require human judgment at specific decision points
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Joined Product HuntAugust 4th, 2026