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Python's security developer-in-residence Seth Larson reports from this year's official core developer Python Language Summit: "No one said 'don't do this' last year". After testing the waters at PyCon US 2025, [software engineer] David Hewitt returned to the Python Language Summit asking what Python core developers want from Rust, along with proposed timelines, phases, and success criteria for how the Rust for CPython project might proceed and become a permanent fixture within the CPython project. David is acting as an "ambassador" for the Rust for CPython project team, which is currently led by core developers Kirill Podoprigora and Emma Smith as authors of the Rust for CPython PEP draft. Emma also spoke at PyCon US 2026 about the Rust for CPython project. The team itself is around 60 developers in a Discord channel, among them a "few [Python] core developers" and a "delegation from the Rust project". The team has experience with previous projects integrating Rust into existing codebases, such as Android and the Linux kernel, and is "excited by the work and keen to support [the project] if we proceed". Showing how adopting Rust may specifically help CPython, David noted how the number of issues labeled with " type-crash" has been steadily rising over time... David explained that Jeff Vander Stoep described Rust in Android as "move fast and fix things", and that "fewer revisions for patches of the same size" was the experience Android has had since adopting Rust.... One of the biggest concerns from a year ago was Rust's lack of platform support compared to CPython, which at the time of writing officially supports 20 different architectures and platforms at either Tier 1, 2, or 3. David shared that Rust's support of different platforms has "widened since last year" and was becoming "less and less of a concern". The proposal would be to ask Python distributors to attempt using the optional Rust support in Python 3.16 (October 2027) and report platform-specific issues upstream in time to be resolved around the Python 3.17 timeline (October 2028)... [T]he first Rust code to ship in Python would be in Python 3.16 [October 2027], where it would be completely optional, with the existing C code kept as a fallback. The earliest that Rust would become required to build CPython is Python 3.18 in 2029, at least three years away... The Rust for CPython team has selected the zlib module as the first module to be given an optional Rust implementation because they "wanted to achieve a significant improvement" with a "small scope". The proposed Rust implementation will use zlib-rs, which is "heavily tested and used by the Firefox, uv, and Cargo" projects and "faster than zlib and zlib-ng on many platforms".... This small change would have an impact: the zlib compression algorithm is "widely used by Python packaging", meaning that (almost) "every pip install in Python 3.16 will be sped up" if the proposal is accepted. Thanks to long-time Slashdot reader RoccamOccam for sharing the article. Read more of this story at Slashdot.

An anonymous reader quotes a report from Ars Technica: Rendering Doom in a database is obviously a bad idea," Lukas Vogel writes in a lengthy blog post explaining how exactly he managed to render Doom using an SQL database. OK, that's not entirely accurate. The SQLDoom project uses a small Python client to handle input and output, drive the game's timing, and display each frame to the screen. Behind that, a series of CedarDB tables tracks the game geometry and state, while about 1,300 lines of SQL queries spread across 89 common table expressions implement the game logic and generate 35 bitmap framebuffers per second. In this, SQLDoom is a major improvement over Vogel's previous DoomQL project, which last year set out to build "a multiplayer Doom-like shooter entirely in SQL." Unfortunately, that effort ended up with raycasting-based, grayscale ASCII graphics that were more akin to the simplistic 90-degree-angled maps of Wolfenstein 3D. The newer SQLDoom, on the other hand, generates full-color 640x480 frames that look like they could have come from the original Doom executable. [...] If you want to run a Doomtabase on your own local machine, you can do so simply with the GitHub code, a copy of CedarDB, and a Doom WAD file. Or you can jump into a free online hosted demo match to test it out without all the setup [...]. Read more of this story at Slashdot.

The Register reports: When Microsoft's developers and engineers sit down to code, they can now choose to work in Rust, which Redmond has added to its list of canonical languages. "Rust now is a Tier One language at Microsoft, and that just means that it sits among C++, C# and TypeScript as the best supported languages for internal development in the company," explained Victor Ciura, Microsoft principal engineer for the Rust tooling team, during a keynote talk today at this year's annual RustConf, being held this week in Montréal. Ciura said Microsoft has "paved a path" of tools and processes that support local Rust development across the entire software development lifecycle. Rust is no stranger at Microsoft and is already present in over 100 Microsoft project repositories. The company has built Oxidizer, a set of crates to build scalable services in Rust, which have been used to build and refine the Microsoft 365 core services such as Outlook, Word, Excel, OneDrive, and SharePoint. The Copilot tech stack also owes quite a bit to Rust... [C]ompany engineers built rustc_codegen_utc, a custom Rust compiler code-generation backend that wires the rustc compiler directly into the Microsoft Visual C++ internal toolchain for Windows... "The result is a unified code generation platform for Rust and C++ on Windows" [Ciura wrote in a blog post, noting that more than 100 Microsoft project repositories now build with rustc_codegen_utc.] Still, Redmond running towards Rust is a welcome development. In his 2025 RustConf keynote, Microsoft Azure CTO Mark Russinovich noted that ~70 percent of Windows CVEs are memory issues. "One of the things that I realized a long time ago is that no matter how much we really want to make C and C++ better, we can't make it as good as what Rust starts with," he said. Read more of this story at Slashdot.

"GitHub and the Python Package Index (PyPI) have introduced new policies meant to boost supply chain security," reports SecurityWeek, "by preventing the fast propagation of poisoned package versions and the poisoning of old and long-stable releases." To prevent the fast delivery of malicious code through the immediate fetching of brand-new releases, GitHub has introduced a Dependabot cooldown, where the automation tool waits for at least three days after a release has been published before opening a pull request. "Waiting a few days before adopting a new release gives maintainers, security researchers, and automated scanners time to spot a malicious version and get it pulled before it ever reaches your pull requests," GitHub explains. The three-day cooldown only applies to non-security version bumps, and the behavior can be modified through the configuration option in the dependabot.yml. "Three days as the default balances two goals: it pushes you past the window where most of these attacks live, and it doesn't hold your dependencies back longer than necessary," GitHub notes. And the Python Package Index (PyPI) "now rejects new files being uploaded to releases that are older than 14 days," according to a recernt blog post from the Python Software Foundation's security developer-in-residence Seth Larson: This restriction was put in place to prevent old and long-stable releases from being poisoned in case publishing tokens or workflows of PyPI projects were compromised... The discussion of this behavior began during PEP 740 (Digital Attestations) back in January 2024. The discussion was restarted in March 2026 after the popular packages LiteLLM and Telnyx were compromised. These packages were compromised due to a "mutable reference" in these projects' usage of the Trivy GitHub Action... To quantify how disruptive this change would be to existing workflows, the PyPI database was queried for projects that have published new files to old releases... [O]nly 56 projects of 15,000 had published a [Python] 3.14-compatible wheel more than 14 days after a release was available. This topic was brought to the Packaging Summit at PyCon US 2026 by PyPI Safety & Security Engineer, Mike Fiedler. The rough consensus of the discussion was that the summit attendees thought it was "acceptable to require users to bump to the next version" to support new Python versions. With the data and consensus in hand, Seth moved forward with a patch to reject new files on old releases which was merged July 8th, 2026. Read more of this story at Slashdot.

Longtime Slashdot reader AmiMoJo shares a report from Hackaday: Community-led open source project hosting site Codeberg has formally announced that projects whose code is largely or fully machine-generated through LLMs and other 'AI' tools will no longer be welcome. This follows on the heels of a similar ban on cryptocurrency-related projects. The community vote was on two issues, the first being the notion that scraping of project code for the use in LLMs should be forbidden, which was a motion that easily passed. The second motion was on disallowing projects whose code was substantially generated by LLMs like Claude, OpenAI Codex, and similar. This motion passed with 358 in favor versus 144 against. In the earlier linked blog post the reasoning behind especially this second issue is expanded upon, covering not only "license whitewashing," but also the direct and indirect hardware costs, with the expanding 'AI' datacenter hyperscaling having massively increased hardware costs for Codeberg over the past years, as the costs have been largely externalized. Also covered is the aspect of these LLM-based tools destroying the OSS community, which is something that is backed up by recent studies. Read more of this story at Slashdot.