Project Kairos

Engineering Autonomy¶

Project Kairos is a high-throughput, distributed orchestration engine designed to transform software engineering workflows through autonomous, context-aware implementation planning and verification. By utilizing a 3-level Hybrid RAG context injection, Kairos drastically reduces token consumption while ensuring the LLM is grounded in the exact architectural nuances of the project.

🚀 Core Capabilities¶

• Autonomous Implementation Planning: Translates high-level feature requests into granular, technical implementation plans by leveraging repository context and system-wide architectural constraints.

• Hybrid RAG Injection: A proprietary 3-level retrieval process that fuses local lexical matches (BM25), dense semantic search (vector embeddings), and cross-encoder reranking to inject hyper-relevant context into the LLM, eliminating hallucinations.

• Automated Verification Loop: Beyond code generation, Kairos autonomously creates and executes unit tests, verifies functional correctness, and identifies edge-case failures.

• Intelligent Review & PR Generation: Compiles comprehensive implementation reports and creates structured Pull Requests, complete with automated review summaries and impact analyses.

🏗️ The Engineering Edge¶

• Token Efficiency: Minimizes LLM cost by distilling vast codebases into precise, rank-ordered context chunks.

• Systemic Reliability: Built on a distributed backend using Java 21 (Virtual Threads) and Python (FastAPI), ensuring the system remains responsive under heavy concurrent load.

• Local-First Security: Keeps uncommitted local changes and sensitive workspace context on the developer's machine using Ollama and sqlite-vec, ensuring high-velocity development without data exfiltration.