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v0.7.0

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

llama.cpp11 min read

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llama.cpp1 min read

Latest AI News

  • Nobody reads pull request descriptions, so we made videos

    Almost none of the pull requests Polylane opens were asked for by an engineer, and a longer description does not make them easier to review. We are experimenting with a narrated video for every fix. Why, what it looks like, and what happened to merge rates.

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  • Turn your app into a context graph

    Agents that run software need a context graph of the app: every resource, what it connects to, the repository that deploys it and the team that owns it.

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  • We swapped our LLMs for Jev. It's 39% cheaper.

    Our on-call agent makes thousands of small decisions a day. We moved them from LLMs to Jev, a model that doesn't write text, and cut the cost by 39%.

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  • How we prevent slop from hitting prod

    Nothing in your pipeline asks whether a change is safe for prod. This is the check we built that does, and how we got it to finish before your tests do.

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  • Sub-agents are just wrong

    Polylane's autofix used to be a workflow of multiple agents, each responsible for a single task, with an orchestrator managing state between them. We moved to a single agent which does the entire job, from evidence gathering, hypothesis testing to pull request.

    Polylane Blog9 min read
  • I'm Betting My Company on Proactive Agents

    Agents can do almost anything you ask. That's the problem, you still have to ask. The next evolution is agents that figure out the job to be done. I started with operations, because nobody should be on-call in 2026.

    Polylane Blog9 min read

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