Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases
Real-SWE benchmarks frontier AI models on private production codebases licensed from real companies. Eighteen models across twenty-five tasks.
Real-SWE benchmarks frontier AI models on private production codebases licensed from real companies. Eighteen models across twenty-five tasks.
Pharo is a pure object-oriented programming language and a powerful environment focused on simplicity and immediate feedback.
When those of us in the Vulkan® working group want to modify the API—whether it’s a new hardware feature to expose, a new use case we want to address, or even just a gap in the spec we want to address—we have one invaluable tool that we make heavy use of: extensions! Extensions are a wonderful way for us to get…
How OpenAI built Pando, a Git-compatible backend designed for the scale of development that Codex makes possible.
In part 1 of this series , we found that users generally view the most popular collaborative text editing algorithms (including the most popular library, Yjs ) as silently corrupting their documents when the algorithms resolve direct editing conflicts. We argued that, while this is potentially ok for live…
Today, we’re launching SWE-1.7, the most capable model we’ve trained so far. It reaches frontier-level intelligence at a much lower cost, advancing the…
We're excited to announce the release of pandas 3.0.0. This major long-awaited release brings significant improvements to pandas, but also features some potentially breaking changes.
Highlights of the Julia 1.13 release.
An update on the Model Context Protocol roadmap and focus areas for upcoming specification releases.
Python Workers allow developers to run Python web frameworks and AI orchestration libraries natively in the Cloudflare Workers runtime. You can seamlessly integrate with Cloudflare's ecosystem including D1, R2, and Workers AI without writing any JavaScript glue code.
Exploring alternatives to the archived_at column pattern: triggers, application events, and WAL-based change data capture.
New research on how we've reduced agentic misalignment
It came after ud0 and ud1.
After 15 years at Google, the creator of JJ joins ERSC as Chief Technology Officer.
OpenClaw became the fastest-growing repo in GitHub history almost overnight. The PR data offers a preview of what the future of open source contribution may look like.
Bun 1.4 rewrites Bun in Rust, ships built-in headless browser automation (Bun.WebView), Bun.Image, Bun.markdown, JSON5, JSONL, Terminal and cron APIs, Node.js 26.3.0 compatibility with 1,517 newly passing tests, parallel test and run, Windows ARM64, and an opt-in global virtual store for up to 7× faster installs.
An accidentally fast variable-length integer encoding
WASI 0.3 is official, and async is now native to WebAssembly Components. The WASI Subgroup voted to ratify WASI 0.3.0, rebasing WASI onto the WebAssembly Component Model’s async primitives. The 0.3.0 specification is now stable, and runt...
Thanks to 227 contributors, 817 pull requests, community reviewers, and our generous donors, we're happy to announce the Bevy 0.20 release on crates.i…
The official home of the Erlang Programming Language
Today’s coding benchmarks have established that models can write correct code, but the question we should really be asking is: can models actually write…
GPU code can now use Rust's standard library. We share the implementation approach and what this unlocks for GPU programming.
Started by rafalp on Dec. 12, 2023 in the Roadmap category. 6 replies, last one from July 25, 2024.
Prime Agent is our open-source, self-improving coding harness built around two abstractions: the Recursive Language Model (RLM) and the Continual Harness. With Opus 5, it achieves 95.5% on ARC-AGI-3, surpassing the reported human expert baseline.
Announcing the first release of Avalonia MAUI
SERA is the first in our family of Open Coding Agents, achieving state-of-the-art performance at low cost.
How to prompt Opus 5.5, steer a long run, and check your results in Claude apps and Claude Code.
This post is about optimizing an extremely simple AST-walking interpreter for a dynamic language called Zef that I created for fun to the point where it is competitive with the likes of Lua, QuickJS, and CPython.
AI agents tend to be, at least as of this writing (May 2026), lousy at writing tests. The tests they write are often vague, cryptic, overcomplicated, hacky, dis...