Tag: Agentic Coding

An architectural deep dive into TAKT, an open-source CLI using YAML workflows, isolated worktrees, and strict review loops to orchestrate AI coding agents.

In-depth analysis of the latest "GPT-5.6 Sol Prompting Guidance" officially released by OpenAI. Officials confirmed for the first time: deleting lengthy rules and examples and streamlining the System Prompt not only reduces costs by 67% but also increases task evaluation scores by 10-15%. This article breaks down the brand new Model + Harness practices, Programmatic Tool Calling, and validation workflows.

Anthropic releases a privacy-preserving analysis of 400,000 Claude Code interactions. The research reveals the true division of labor for AI coding agents: humans decide 'what to do', while AI decides 'how to do it'. More importantly, success depends not on 'coding ability', but on 'domain expertise'. This has profound implications for the future of knowledge work.

A deep dive into Hashimoto's firsthand journey: three stages of tool adoption, redoing commits for practice, off-peak and slam dunk delegation, AGENTS.md and verifiable tools, plus the current state and limitations of 'always having an Agent running'.

An analysis of OpenAI's agent-first engineering field report: repository knowledge, observable environments, enforced invariants, and continuous cleanup as a compounding control system.

From traditional IDEs to AI collaboration, the center of gravity in software engineering is shifting from implementation skills to problem definition and system design. My understanding of Vibe Coding: establishing a controllable development process amid uncertainty.