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Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
A guard-railed, closed-loop workflow for AI coding agents: live state bus + execution-level hard intercepts for Claude Code and Codex (GitHub PR / GitLab MR). From step-level to requirement-level; eval-driven, spec-driven, human-in-the-loop.
AI-augmented QA platform for spec-driven development and testing, RAG-grounded analysis, eval-driven development and contract validation across Python, Go, Rust and Solidity.
A hands-on learning repository exploring Spec-Driven Development (SDD) for building deterministic AI systems. Covers specs, evaluation loops, patterns, experiments, and failures to bridge theory with real-world AI engineering practices.
Multi-agent inspection pipeline for solar cell EL images: EfficientNet-B0 severity classifier + Qwen3-VL (Ollama) reasoning, served via FastAPI. 75.3% on a 20-criteria eval suite.
Companion code for the talk "Managing Production Agents at Scale — from Chaos to Reliability". One Google ADK agent, three production failure modes: eval-driven development, resilience, and zero-trust on Vertex AI.
Ковенантный мониторинг корпоративных кредитов: 200 PDF + банковский леджер → статус ковенанта, значение метрики и транзакция-улика. Решение кейса Halyk AI Challenge с полным post-mortem.
Eval-first plugin builder for Claude Code — the eval suite is the contract; green is the definition of done. Primitive decision records, generated eval suites with arming gates, sha256-frozen contracts, goal-loop builds in isolated worktrees, verified ships.
Catch LLM quality regressions before they reach production — eval-driven CI/CD with LLM-as-Judge scoring, Wilson 95% CI diffing, and automatic PR alerts.