Saving tokens in GitHub Copilot
Practical techniques for reducing token consumption in agentic coding without losing result quality.
Practical techniques for reducing token consumption in agentic coding without losing result quality.
A workflow proposal for team-managed agent skills through a catalog, local PoC, GitHub issue, and agentic triage.
A reflection on why agents change the economics of AI products and why a pure flat subscription model runs into limits.
A home experiment showing why context, measurement, feedback, and agentic UX matter for AI coding.
A personal workflow for layered reading, listening, and asking AI questions about books, PDFs, and longer texts.
A comparison of three paths to generated UI: static artifacts, declarative specifications, and fully generated interactive code.
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Copilot, skills, context, feedback, and practical work with agents in software development.
How user interfaces, pricing, consumption, and business models change in AI-first products.
Practical personal workflows for using AI to accelerate learning, reading, and work with information.
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