Ai2, the Allen Institute for AI, is admirable in that it releases fully open large models: data, code, and weights. This week they announced Open Coding Agents
Over the past year, coding agents have transformed how developers write, test, and maintain software. These systems can debug, refactor, and even submit pull requests—fundamentally changing what software development looks like. Yet despite this progress, most coding agents share the same constraints: they’re closed, expensive to train, and difficult to study or adapt to private codebases.
Ai2 Open Coding Agents change that. Today we’re releasing not just a collection of strong open coding models, but a training method that makes building your own coding agent for any codebase – for example, your personal codebase or an internal codebase at your organization – remarkably accessible for tasks including code generation, code review, debugging, maintenance, and code explanation.
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The first release in our Open Coding Agents family is SERA (Soft-verified Efficient Repository Agents). The strongest – SERA-32B – solves 54.2% of SWE-Bench Verified problems, surpassing prior open-source state-of-the-art coding models of comparable sizes and context lengths while requiring only 40 GPU days (or fewer) to train on a cluster of 2 NVIDIA Hopper GPUs or NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. SERA models are optimized and compatible with Claude Code out of the box. With our fine-tuning method, you can specialize them to your own codebase including your full engineering stack and conventions quickly and at low cost.
These releases are great building blocks for further open-source development. To be clear, SERA is a fine-tuned version of Qwen 3, so it doesn’t provide complete end-to-end transparency.
They’re also useful for independent learning. A genuinely benchmark-competitive model with freely available training data and code is a nice starter kit for a class. Plus these present realistic application of modern post-training approaches.
With the crazy functionality and robustness of current TUI frameworks, it’s not inconceivable a small-to-medium-sized business can completely own their agentic coding stack.
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