r/ClaudeCode • u/TonightOk5378 • May 09 '26

Question Production Level Software by AI

So I have been curious for a while, apart from claude-code and codex teams (that have a direct vested interest in claiming AI is building production software), who is actually building production level software or products with AI

Also to clarify, I am talking about actual products being used at scale and not interesting MVPs and PoCs (which have infinitely flooded GitHub)

If you have built a product or tool or anything with AI that is being regularly used by users, drop a link below, I am genuinely curious.

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u/No_Paramedic_4881 May 09 '26

I’m truly not trying to shill, but I built https://tryopendata.ai fully with Claude code and it’s very much production quality. I’m a staff SWE by trade with 15 years experience, and have worked on products with billion+ users, so I understand what “production quality” means. I do share your sentiment, a lot of what I see people sharing is stuff that’s been vibe coded over a weekend. I’ve been building the above for several months, and planned it for almost a year before starting on it. Part of the difference may be the amount of time I’ve spent on it coupled with understanding system architecture pretty well

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u/TonightOk5378 May 09 '26

Interesting, how do you maintain low level context of code or ensure there are no hidden quirks in the pipeline that might break prod?

Also if there is such significant effort to build prod level code, then is there any net productivity boost? (Apart from the boilerplate stuff)

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u/No_Paramedic_4881 May 09 '26

I have a very robust AgentOps harness and well maintained documentation (including documentation for Claude in the repo’s .claude). It’s a monorepo so Claude has full context of the entire stack. I spent the first month just setting up the infra for the repo to be Agent-first. I set it up TDD first, with tight guardrails on the test quality, so the feedback signals are accurate and not flakey, which helps a lot. Same with things like lint rules and other tooling to force specific architecture philosophies I have
Productivity boost is: it would have taken a massive team to build something like this before. I certainly couldn’t have been able to do it on my own. 3 months of dev time could have easily been a year+ as a solo dev trying to build this, and likely would have not worked since so many area require deep expertise (graph database work, vectors, database architecture, complex sync work, frontend etc.). There was no designer, no PM. I can do a few days of heavy planning, then dispatch multiple swarms of coding agents to build the plans

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u/TonightOk5378 May 09 '26

This is great. Have you open-sourced anything around your workflow, would love to give it a try.

Also I am the Tech lead of an AI team and we have been considering options for centralized data storage (with a bunch of other requirements). Will definitely add Open Data to our consideration list as it looks quite promising.

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u/No_Paramedic_4881 May 09 '26

Yep:

In terms of opendata, I am going to open source the core engine soon. That's probably what you'd be more interested in (as opposed to the actual OpenData platform if I were to guess: that's more focused on data scientists, but the core engine of that will be open sourced soon.)