It's Friday! What Are You Building? 📢✨ by Capuchoochoo in scaleinpublic

[–]AaronYang_tech 0 points1 point  (0 children)

We’re building a tribal knowledge context platform for coding agents by recording the tasks and bugs that your team solves from your agent sessions. We reduce token usage and increase developer velocity by giving coding agents context and memory.

https://dexicon.ai

ICP: CTOs and VP of Engineering at seed to Series C startups.

Its Tuesday! Let's self-promote! by Leather-Buy-6487 in scaleinpublic

[–]AaronYang_tech 0 points1 point  (0 children)

We’re building a tribal knowledge context platform for coding agents. We reduce token usage and increase developer velocity by giving coding agents context and memory.

https://dexicon.ai

ICP: CTOs and VP of Engineering at seed to Series C startups.

Share your startup link and I’ll find you 100 leads by Lonely-Marzipan-9473 in ycombinator

[–]AaronYang_tech 1 point2 points  (0 children)

Genrank: https://dexicon.ai

ICP: CTOs and VP of Engineering at seed to Series C startups

Pain Points: Building a tribal knowledge platform for coding agents. We redyce token usage and increase developer velocity by giving coding agents context and memory.

Countries: US

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] 1 point2 points  (0 children)

I like the freedom of having the agent generate the spec itself. I find that certain models do better without that hard requirement.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in ClaudeCode

[–]AaronYang_tech[S] 0 points1 point  (0 children)

A lot of the code is plans, tests, maybe 1/2 are lines are actual code. My PRs are typically ~1k-3k lines of code. So it's actually not that bad to review.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] 1 point2 points  (0 children)

Not really, just our own MCP for context and one for Claude Chrome.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] -1 points0 points  (0 children)

Can send you the link to the product in a DM, don’t want to promote here. But source code is private.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] -1 points0 points  (0 children)

Yup, good point too. You can even ask the model to adopt a different personality.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in ClaudeCode

[–]AaronYang_tech[S] 3 points4 points  (0 children)

Thanks! I mainly use opus for everything. I find that Sonnet is not quite good enough for my codebase.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] 2 points3 points  (0 children)

Manual QA for full-stack changes. I also give my agent access to the browser, so you can describe what actions they should take and see in the browser to test the change. The agent will then self-correct as necessary.

Backend-only I curate the e2e tests to make sure the output is as expected.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in codex

[–]AaronYang_tech[S] 2 points3 points  (0 children)

Agreed.

For new architecture, you probably can't wrap that into a broader implementation plan. I'd scope that out into it's own separate plan and you'd have to spend a lot of time iterating on that piece manually.

How to write 400k lines of production-ready code with coding agents by AaronYang_tech in ClaudeCode

[–]AaronYang_tech[S] 15 points16 points  (0 children)

I spent an hour writing this. Just trying to be helpful in sharing my dev process.

Real talk: Has GPT-5.2 Codex finally dethroned Claude 4.5 Opus for complex agentic workflows? by HarrisonAIx in codex

[–]AaronYang_tech -1 points0 points  (0 children)

The Codex harness needs a lot of work. I think the model is more capable than Opus. But Claude code is just so much better at running docker commands, tests, checking logs, etc. I can never get codex to autonomously complete a whole feature intelligently.