Code

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Methodology and tooling for auditing your own Claude Code session logs. Schema, ingest pipeline, analyses, and LLM-assisted verification-debt audit.

Pythonagentic-aianthropicclaude

Runnable companion code for articles published on mpiv.ai/blog covering AI agent infrastructure (LiteLLM proxy, agent observability, eval pipelines, model gateways).

Python

Loop-discipline patterns for Claude Code: Stop hooks with evidence files, three skills mapped to common failure modes, and reference samples for structured shell, structured tests, and prompt caching.

Python