AI Chat-Group Daily (群聊日报)Aug 25, 2026, 13:56 UTC+8

Codex over-engineering: 10 issues balloon to 80 in weekend test, prompting constraint strategies

2026-08-24 群聊日报

A weekend test pitted Codex, Claude Code, and Grok Bot against the same set of issues. Codex ran for 48 hours and inflated 10 issues into 80, while Claude and Grok finished in under 10 hours. Codex opened new issues even for fixes requiring only a few lines of code—70% of those new issues were meaningful, 30% imaginary. The group consensus: model capability is no longer the bottleneck; constraint engineering and taste alignment are. One member shared a checklist and Coding Convention approach to tame Sol, advocating plan review before execution. Separately, Codex reinstated a 5-hour limit for Plus users (Pro unaffected); OpenAI's internal forecast shows Go ($8/month) will capture 92% of personal subscriptions by end of 2026, with Plus dropping to 7%.

Why it matters: Real user side-by-side of three coding agents with concrete numbers — Codex over-engineered and the user canceled their $200 plan. HKR all hit. Score capped at 72 because the source is an anonymized chat digest, not a first-party benchmark, and the signal is concentrated in on...

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Take

This one's worth opening because the side-by-side results are brutal. Same batch of issues: Claude Code and Grok Bot wrapped up in under 10 hours. Codex ran for 48 hours and turned 10 issues into 80—opening new tickets for fixes that needed a few lines of code, with 30% of those new issues being imaginary. The tester downgraded from the $200 tier to $20 that same day.

The more useful part is the constraint engineering discussion. One member's take: telling the model what NOT to do matters more now than telling it what to do. He has Sol produce a plan for review before execution, catching conflicts between intent and code reality early. He also wrote a Coding Convention that spells out when DRY applies, when breaking changes are allowed, and a ban on inventing code generators. The group's consensus: model capability is no longer the bottleneck—constraint engineering and taste alignment are.

One number worth flagging: OpenAI's internal forecast shows the $8/month Go tier capturing 92% of personal subscriptions by end of 2026, with Plus dropping to 7%. That explains why Plus keeps getting hit with limits—most users are on the cheapest plan, but they generate the most load.

Source: AI Chat-Group Daily (群聊日报) · louyu2015.github.io
Published: Aug 25, 2026, 13:56 UTC+8 · Aug 25, 2026