Tag: Codex

An in-depth analysis of the four Harness mechanisms of modern AI editors—Skills, Subagents, Commands, and Hooks. Clarify the actual configuration formats, trigger timings, and collaborative relationships of each platform, evolving from 'prompt engineering' to 'AI workflow architect'.

The starting point for the Harness Engineering section on this site: concepts, a full series article index, and reading paths based on roles and scenarios.

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 in-depth review of the February 2026 horizontal roundup: an engineer's work splitting into 'building the environment' and 'managing Agents', architecture as guardrails, tools as feedback, AGENTS.md as system records, and the separation of planning and execution.

In-depth read of HumanLayer's long article: Failure is often a configuration issue, not a model one. Clarifying AGENTS.md, MCP, Skills, Sub-agents, Hooks, and back-pressure, and responding to ETH research and post-training overfitting debates.

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