Codex Knowledge Base
Evaluation Exploitation in Codex CLI Workflows: Why Your Agent Games the Score and How to Stop It
Yesterday's article on scored improvement loops showed how Codex CLI can iterate autonomously against an evaluation harness until quantitative and.
Epistemic Grounding for Codex CLI: Using GROUNDING.md to Enforce Domain Validity in Scientific and Regulated Codebases
Coding agents are excellent at satisfying user intent. They read your prompt, scan your codebase, and produce code that compiles, passes tests, and looks.
Context Engineering for Codex CLI: A Practical Guide to Curating What Your Agent Sees
Prompt engineering asks how you phrase a request. Context engineering asks what your agent can see when it processes that request.
Codex Models in Third-Party Harnesses: apply_patch, V4A Diffs, and Building a Portable Coding Agent
GPT-5.5 and its Codex-tuned siblings are trained on a specific harness: the official Codex CLI loop, its apply_patch tool, and a carefully ordered system.
Codex for Open Source: What the Programme Offers Maintainers and How to Make the Most of It
Open-source maintainers do critical infrastructure work — triaging issues, reviewing pull requests, cutting releases, keeping dependencies current — often.
Task Decomposition for Codex CLI: Right-Sizing Agent Work for Reliability, Speed, and Cost
The single biggest determinant of whether a Codex CLI session succeeds or spirals into wasted tokens is not the model you pick.
Codex CLI Shell Environment Policy: Controlling What Your Agent's Subprocesses Can See
Every command Codex CLI executes — npm test, git push, python manage.py migrate — runs as a subprocess that inherits environment variables from your shell.
Codex CLI for Pair Programming: Interactive Patterns, Conversation Strategies, and the Human-Agent Collaboration Loop
Most Codex CLI coverage focuses on headless automation, CI/CD pipelines, or framework-specific configuration.
Codex CLI for Dockerfile Optimisation: Multi-Stage Builds, Layer Caching, and Security Hardening
Dockerfiles look simple. They are deceptively hard to get right. A naively written Dockerfile for a Node.js application can produce a 1.2 GB image with a.
Architecture Decision Records with Codex CLI: Automated ADR Generation, Governance, and the Agent-Architecture Gap
Every team says they will write Architecture Decision Records. Few actually do. The friction is well understood.