This repository contains a sophisticated COBOL modernization toolkit that uses AI agents to analyze, extract business logic from, and convert legacy COBOL code to modern Java (Quarkus) or C# (.NET) applications. The system features an agent-based architecture with specialized agents for structural analysis, business logic extraction, dependency mapping, and code conversion. It includes a web portal for monitoring migration progress, visualizing dependency graphs, and interacting with AI assistants. The toolkit handles large COBOL files through intelligent semantic chunking that preserves code context across chunks, and uses a hybrid persistence approach (SQLite for metadata, Neo4j for graph visualization) to store migration artifacts. Key innovations include a three-tier complexity reasoning system that dynamically adjusts AI effort based on code complexity, semantic unit-aware chunking, and cross-chunk consistency mechanisms for type mappings and signatures.
Loki Mode is an autonomous AI coding agent platform that transforms tasks, issues, or PRDs into verified pull requests with signed receipts. It operates as a multi-provider orchestration engine (Claude Code, Codex, Aider, etc.) with a staged pipeline: intake, plan, wall (acceptance tests), implement, verify, fix, seal, and PR. The system produces Ed25519-signed evidence receipts that can be independently verified, ensuring honest outcomes. It includes a control plane (Bun/Hono + SQLite) for run persistence and a web dashboard, plus extensive integrations (Slack, Jira, Linear, GitHub, GitLab). The architecture is polyglot: a bash CLI (autonomy/loki) and a TypeScript/Bun rewrite (loki-ts) run in parallel with parity enforcement, plus Python services for memory, learning, and the dashboard. Key entry points are the `loki` CLI, the control plane server on port 47821, and the FastAPI dashboard. External dependencies include git, Claude Code CLI, various LLM providers, and optional services like OpenTelemetry and Helm for deployment.