2 posts tagged with "ai-agent"

Once you start adopting Claude Code at work, there comes a stage where even reading the official documentation makes it hard to see "what to adopt next" and "which one fits my level." The features Anthropic itself ships exceed 30 kinds; the workflows the community publishes number 12 or more; and the tips from Claude Code's developers like Boris Cherny and Thariq are scattered across 80-plus.

What helps organize that is shanraisshan/claude-code-best-practice, which won GitHub Trending #1 in March 2026. It is a repository published and continuously updated under the MIT license by Shayan Raisshan (organizer of the Claude Pakistan community, a Claude Community Ambassador). As of this writing (May 25, 2026), it is a curation collection with 445 files and a 585-line README.

"I upgraded the model to the latest version, but it still repeats the same mistakes." "No matter how I tune the prompt, I hit a wall somewhere." When you try to put an AI agent to work, you always run into this wall. In many cases this is not a problem with the model itself; it stems from the design quality of the environment surrounding the model (= the harness). In this post I organize the idea of harness engineering — which was rapidly systematized starting in February 2026 — together with configuration examples from my own ~/.claude/ directory.