Tip

Break Down Complex AI-Generated Code into Atomic Functions

When working with AI coding assistants, you may encounter situations where the generated code is lengthy, monolithic, or difficult to understand at…

Sep 21 •

Enable universal file access for your AI coding agent with MarkItDown-MCP

While some LLMs can read certain file formats like PDFs directly, all LLMs excel at processing Markdown. This makes Markdown the ideal format for…

Sep 7 •

Make Your Library AI-Friendly

Modern libraries should be designed with both human developers and AI assistants in mind.

Aug 31 •

Optimize AI Model Usage by Phase

Use frontier models for analysis and planning, smaller models for execution

Aug 24 •

Refine your initial prompt instead of course-correcting

When working with AI coding agents, you'll often find that your first attempt doesn't produce exactly what you need.

Aug 16 •

Generate ad-hoc Python scripts with LLM and UV

The llm command-line tool combined with uv's inline dependency management enables rapid Python script creation without manual environment setup.

Aug 9 •

Automate GitHub workflows with AI agents and the GitHub CLI

AI coding agents can interact directly with GitHub repositories using the gh command-line tool. By instructing your AI agent to use the GitHub CLI, you…

Aug 2 •

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