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The harness matters as much as the model

An agent's model is only one part of its behavior. Prompts, tools, context, recovery, evaluation, and memory form the harness around it. What current research says, and how to measure its effect on quality and token use.

Using GonkaGate as an OpenAI-compatible model provider

A practical guide to connecting an OpenAI-compatible GonkaGate endpoint to command-line agents. How to create and protect an API key, test the endpoint, configure a custom provider, and verify models and costs before a workload.

Using graphify with Claude Code

A practical graphify setup for Claude Code: build a searchable map of a repository, keep extraction separate from the main session, update the graph carefully, and check it before committing.

Reducing token use in Claude Code

A practical, measurement-first guide to lower context cost in Claude Code: smaller sessions, focused delegation, retrieval, compact tool output, caching, and API batching.