Mojoš„ is now open source The Mojo programming language has been promising an open source release since May 2023 . Last week they shipped their 1.
Machine-generated by The Flow from the publisher's headline and feed description ā not written or checked by a human. The full article lives at Simon Willison.
EVE Online is beginning its transition to Python 3, a move that will involve using the futurize script on 2.4āÆmillion lines of code and a manual review of about 20,000 differences between PythonāÆ2 and PythonāÆ3. The company has historically run on Stackless Python since 2003, with the last major upgrade in 2010 to Stackless PythonāÆ2.7. While the announcement does not detail how Stackless will be replaced, the team previously showcased a shift away from Stackless in their Carbon engine for EVE Frontier, leveraging the openāsource carbonengine/scheduler library.
The release of llmāanthropic 0.27 updates the Anthropic plugin for LLM to be compatible with the newly released anthropic v1.0.0 Python library, which has switched from httpx to httpx2. This mirrors a similar change made by OpenAI in their v3.0.0 release two weeks prior. The update includes a migration guide and a pull request that ensures tests pass after upgrading to anthropic>=1.
Release: pwasm 0.2a0 pwasm is one of my folly projects - an entirely vibe-coded pure Python WebAssembly engine that I built in January during my first bout of AI mania. I hadn't touched it sin...
Python 3.15.0 candidate 2 has been released, marking the final release candidate for the upcoming 3.15 release scheduled for October. Hugo van Kemenade, the release manager, notes that only clear bugāfix changes are allowed between this candidate and the final release, and urges thirdāparty maintainers to prepare wheels on PyPI and test their projects during this phase. The new RC is not yet available for GitHub Actions, but users can add it to their testing matrix using the allowāprereleases and checkālatest flags to automatically test against the latest RC and then the stable release.
Release: llm 0. 32.
Simon Willison reflects on the emotional impact of AI tools that can produce code quickly, noting that many developers experience an initial sense of disheartenment. He argues that recognizing the shift from coding to higherālevel problem solving allows experienced engineers to leverage new tools and add greater value. Willison emphasizes that software engineering has always faced rapid change, so adapting to AI is part of the professionās ongoing evolution.