Hi Codex community — I built an independent, open-source learning repo for engineers who want Codex to behave more like a disciplined local engineering teammate, not just a code generator.
v0.2.0 release: Release Codex How To v0.2.0 · Phelan164/codex-howto · GitHub
What it contains
- 13 progressive modules, from setup and prompting through skills, MCP, subagents, and orchestration
- 9 focused engineering skills for frontend, backend, DevOps, testing, code review, debugging, planning, documentation, and the engineering loop
- A dependency-free playground with intentionally broken code, tests, and a repeatable validation workflow
- A paired-trial measurement framework for comparing baseline Codex usage with skill-guided runs
The engineering loop
The core workflow is:
scope → reproduce → implement → test → review → report evidence
The advanced material also compares single-agent and orchestrated workflows using measurements such as token use, elapsed time, rework, defect escape, and verification strength. The goal is to measure whether extra orchestration helps instead of assuming that more agents are automatically better.
A quick way to try it
- Clone the repository.
- Open the playground task.
- Run the baseline exercise without a skill.
- Repeat it with the engineering-loop skill.
- Record correctness, time, token usage, rework, and evidence quality.
I maintain the project, and it credits luongnv89/claude-howto as its original inspiration.
I would especially value critical feedback from developers using Codex for frontend, backend, DevOps, testing, or code review:
- Where does the engineering loop break down in real repositories?
- Which efficiency measurements are actually useful to your team?
- What runnable example should be added next?
If you try it, please share the result — good or bad. That evidence will help shape the next release.