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Show HN: MicroCodex Coding Agent – OpenAI/codex reimplemented in C++ <1MB binary

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Re: Show HN: MicroCodex Coding Agent – OpenAI/codex reimplemented in C++ <1MB binary

#21
post #18

Earlier quoted context omitted.

I ported almost every key feature already tbh. Of course there will always be a compromise, but there is even still margin to add more. Tools, skills, context compaction, it’s all already implemented.

I haven't actually tried it, my comment was based on the "Known bugs and issues" section in the readme (e.g. no MCP support yet). Apologies if that section is out of date. If the functionality is on par with the mainstream ones, then sure, small and lightweight is preferable.

Actually the MCP support is really one of the only "key" things we had not brought over yet, but please feel free to open an issue or a PR!

Re: Show HN: MicroCodex Coding Agent – OpenAI/codex reimplemented in C++ <1MB binary

#23

I’m not quite sure why the harness itself needs to be small. Isn’t the system prompt and management of system prompt the bit you want lightweight?

Probably you want all of them to be as simple and small as possible, especially if you want to use it to work on itself. Smaller codebases are (generally) easier to work with.

For context, I've rolled my own research harness in Go; I've been trying very hard to keep the non-test LOC around ~30k lines. To me, I consider this large, but necessary, especially after meticulously crafting red diffs while adding features.

I do use it to work on itself. I agree smaller is likely easier to work with; however, that's still, at least partly, disjoint from binary size.

Re: Show HN: MicroCodex Coding Agent – OpenAI/codex reimplemented in C++ <1MB binary

#24

I’m not quite sure why the harness itself needs to be small. Isn’t the system prompt and management of system prompt the bit you want lightweight?

Are there any with small system prompts that are still useful, especially with local models and subagents?
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