Tag: Agentic Coding

Using Astra planning and Flash execution as an example, this article adds a SPEC verification gate, escalation rules, and a careful reading of DeepSWE costs.

TAKT schedules multiple coding agents with YAML workflow topology. This article covers coordination control points—not another generic deep dive.

Reads OpenAI's official GPT-5.6 Sol prompting guidance: what the 15% shorter-prompt figure can and cannot support. This article explains why to write less—not a rules checklist.

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.

Distinguish Vibe Coding, AI IDEs, and Code Agents: when to chat your way through code and when to hand work to an agent.