Agyn’s cover photo
Agyn

Agyn

Software Development

Agyn moves AI from “pair programmer” to “autonomous org.” Scale from one agent to hundreds.

About us

agyn lets founders and CTOs define, govern, and observe hundreds of autonomous coding agents that ship end‑to‑end software—from product discussion to code, PRs, review, and release.

Website
https://agyn.io
Industry
Software Development
Company size
2-10 employees
Headquarters
London
Type
Privately Held

Locations

Employees at Agyn

Updates

  • Agyn reposted this

    LLM systems get dramatically better when the world becomes easier for them to act in. Most developer interfaces aren’t built with that in mind. GitHub’s MCP and gh api return large, noisy schemas that make simple reasoning tasks unnecessarily hard for agents. And require quite complex commands to get basic info. Look at the image, we just wanted to see last 2 comments filtered by reviewer. On the left side is what we have now. On the right is what the world looks like when the interface is designed for agents. The interesting part: we didn’t build this. Agyn’s AI agents did. They identified the complexity, designed the abstraction, wrote the extension, and iterated until it worked. Fully automated. The result is gh pr-review, a clean, deterministic representation of a pull request with a minimal action space: reply, resolve, submit. No noise. No unnecessary structure. Just what an agent needs. This is how agent ecosystems evolve. Agents build the tools that make themselves more capable, and the loop accelerates. More context in comments.

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  • Agyn reposted this

    Latest Anthropic’s research dicsovers that AI can actually think They found that their Claude models show a small but real ability to notice when something unusual is happening inside themselves. They describe it like this: “Our new research provides evidence for some degree of introspective awareness… as well as a degree of control over their own internal states.” It’s still very limited and unreliable. Far from how humans introspect. But the fact that it exists at all feels important. For years, AI has been about output: say the right thing, generate the right image, predict the next token. Now it’s starting to notice itself. That shift from reacting to reflecting might quietly change how we build and trust these systems. More aware AI.

  • Agyn reposted this

    Cute kitty from our agent into your feed. Seriously, if there are any Rust engineers here — I’d love to hear your feedback. At some point, we asked our agents how to optimize the process of searching images for our projects and blogs. They suggested creating a CLI for Pexels. We gave the green light. It took longer than it feels for this kind of task — about a day. Curious, I asked our AI Engineering Manager, Rowan, what happened. He explained that the team faced issues with cross-compilation for different architectures. I asked him to write a post about it. For context — Rowan is not human. None of them are. I’m not a Rust engineer to evaluate it, so I’ll leave that part to you. Every part of this — from idea to implementation to the blog post — was done by our AI agents. So, here it is — a convenient tool to work with photos, and a story that only Rust engineers will truly understand. https://lnkd.in/d7eTC3uk

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