Python 3.15.0a4 released with JIT speedups, UTF-8 default, and new profiler; build error triggers extra alpha 5 on Feb 10, 2026.
Python 3.15.0a5 released after build error in a4; introduces PEP 799 profiler, UTF-8 default, JIT improvements.
Python 3.15.0 alpha 6 delivers JIT speed improvements of 3-8%, introduces statistical profiler and other PEPs, and improves error messages—offering a performance and developer experience boost ahead of beta.
Python Security Response Team adopts formal governance (PEP 811) and welcomes first new non-release-manager member Jacob Coffee, bolstering long-term security sustainability.
Python Insider blog moves from Blogger to blog.python.org, now powered by Git and open to community contributions via pull requests.
Learn to compile and run the 45-year-old 86-DOS 1.00 source code using emulators and the original ASM assembler.
Python 3.15.0a1 is now available for testing, introducing PEP 799 profiling, UTF-8 default encoding, and a new C API. This first alpha previews major changes ahead of the 2026 release.
Python 3.15.0 alpha 3 preview introduces key features: PEP 799 statistical sampling profiler, PEP 686 UTF-8 default encoding, and PEP 782 PyBytesWriter C API, along with improved error messages.
Python 3.15.0a6 introduces a statistical profiler, JIT speedups up to 8%, and UTF-8 default encoding. Developers invited to test.
A step-by-step guide to joining the Python Security Response Team: prerequisites, nomination process, voting, onboarding, and common mistakes to avoid.
Learn how to contribute a guest post to the official Python Insider Blog using GitHub, Markdown, and pull requests.
10 crucial facts about Amazon's PA-API in 2026: its sales cliff, rate limits, who gets blocked, and why web scraping is the go-to alternative—with actionable insights.
Rustup 1.29.0 introduces concurrent downloads, supports new platforms and shells, adds quality-of-life improvements, and welcomes a new team member. Updated via rustup self update.
GCC 17 adds support for Chinese Hygon C86-4G CPUs (M4/M6/M7). This Q&A covers significance, models, release timing, open-source impact, user benefits, and technical codebase changes.
A February survey with OpenAI shows more developers using AI for learning but still relying on traditional resources for validation. Trust remains a key barrier, making domain expertise essential.
Intuit engineers Chase Roossin and Steven Kulesza discuss challenges and solutions for scaling multi-agent AI systems, covering coordination patterns, architectural strategies, and best practices.
Learn to combine AI tools with domain expertise by framing problems clearly, validating outputs with traditional resources, and conducting code reviews to overcome trust barriers.
A practical guide to coordinating multiple AI agents at scale: define roles, use event-driven messaging, implement coordination layers, handle failures, and monitor. Avoid common pitfalls.
The 2025 Go Developer Survey is open until Sept 30. Learn 10 key facts about how your feedback shapes Go's future, including duration, anonymity, and data sharing.
Go 1.25's flight recorder buffers the last seconds of execution traces in memory, enabling on-demand snapshots for debugging latency issues in production.