I want to share a breakthrough we've made at Axamy for non-developers who want to get features built and problems fixed from their software teams.

Most organizations keep their code on GitHub. We built a deep integration with it in Axamy, and it changes what non-developers can actually contribute.

Two things make our version work. First is the integration itself. Most agents use off-the-shelf middleware for GitHub connectivity, and we found those to be slow, expensive, and often inaccurate, burning massive tokens on every query with weak results. We built a custom app instead: fast, lightweight, and included in flat-rate pricing.

Second is that Axamy is a team platform, so when the AI gives you an answer from your codebase, it immediately gets into actions, planned out, assigned, and executed.

Mot people notice problems and have ideas but can't evaluate them against how the system actually works. Any LLM gives you an abstract take on the general approach. When the AI has access to your actual codebase, the answer is specific: the real file, the real structure, whether something is two lines or a major refactor. In my experience it's about 80-90% accurate, which is good enough to pre-qualify an idea before it reaches engineering.

We use this constantly. Our voice input was cutting off the first word of recordings. I described the issue, Axamy looked at the specific file handling voice input, found that the audio subsystem was being initialized from scratch on every tap rather than pre-warmed, and we measured the fix. Latency dropped by a few hundred milliseconds. You can use it for simple enhancements or even understanding how hard adding in new features will be. Once you start doing it, you end up doing it constantly.

The last piece is where the team platform matters. Once you have the AI's read on something, you turn it into an action in Axamy and assign it. If it comes back as a one-hour fix, it goes on the plan for the next day. The dev manager routes it to the right person. The developer gets it with the context already attached: what the issue is, which file, what the fix looks like. You specify, organize and plan it before anyone has even started building.

Developers already have great tools for this kind of work. For everyone else on the team, product, marketing, operations, anyone who notices things and has ideas, this closes the gap. And it speeds up engineering too, because the scoping has already been done.