CODEX GROWING PAINS: SCALE BUGS, VS CODE EXTENSION HICCUPS, AND THE LIMITS OF AI ON TRIBAL KNOWLEDGE
OpenAI Codex shows instability under heavier use and fuzzy boundaries with ChatGPT, while AI still struggles to replace human-held system context. Multiple Cod...
OpenAI Codex shows instability under heavier use and fuzzy boundaries with ChatGPT, while AI still struggles to replace human-held system context.
Multiple Codex users report rough edges: a Windows 11 leak claim post, odd behavior when a workspace has many old chats post, and issues with the VSCode extension post. There’s also confusion on when to use ChatGPT for planning vs. Codex for coding thread and a feature ask for Codex to detect prototype-to-production transitions idea.
A counterpoint: builders are still shipping with OpenAI tooling PulmoCalc. But don’t expect AI to document tribal knowledge—this explainer nails why AI can’t capture “institutional debt” decisions article.
Adopting Codex for daily development may hit reliability limits on Windows and larger workspaces.
AI code tools still miss undocumented decisions, so legacy refactors risk breaking hidden invariants.
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Load-test a Codex workspace: import many old chats and long threads; watch latency, context drift, and replay accuracy.
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On Windows 11, stress Codex + VS Code extension for an hour; monitor memory/handles with Procmon/Task Manager for leaks.
Legacy codebase integration strategies...
- 01.
Do not auto-refactor legacy modules with unknown invariants; require human reviews and doc updates before merges.
- 02.
Gate Codex-suggested changes behind CI smoke tests and golden datasets; add rollback playbooks for critical paths.
Fresh architecture paradigms...
- 01.
Define tool boundaries early: use ChatGPT for planning/discovery, Codex for scoped edits; capture decisions in ADRs.
- 02.
Keep workspaces small and short-lived; periodically archive threads to avoid context bloat.
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