Python
fromMathspp
14 hours agouv skills for coding agents
Utilizing uv workflows enhances Python code execution and script management for coding agents, ensuring proper handling of dependencies and sandboxing.
While the codebase is fresh and grows fast under the umbrella of the local environment, we tend to rely on debugging tools, which were created specifically for that purpose. The app is half-baked, and the code is split open. We observe it through the lens of our IDE and with the speed of our brain. Everything is possible; we may pause execution for minutes, and the whole system is a white box - an open book for us.
Tracy is compatible with Kotlin from version 2.0.0 and Java from version 17. Integrations can be made with SDKs from OpenAI, Anthropic, and Gemini. The library also works with common Kotlin/LLM stacks including OkHttp and Ktor clients, as well as OpenAI, Anthropic, and Gemini ones.
If there's one thing I want you to take away from this article, it's this: testing harness is the most important thing for vibe-coding. Not prompt engineering, not fancy plugins, just constraining your AI outside AI toolchain. I'm calling it harness because it's not only tests. It's tests, types, linters, and any other automated checks you can put in place. The more you rely on AI, the more harness you need.
High-level view of the travel search workflow, highlighting parallel searches, explicit decision points, and iterative refinement. In Scala, we define this workflow using Workflows4s, encoding both state and transitions explicitly in the type system. Instead of opaque state blobs or untyped contexts, the state of the process is represented using algebraic data types - types like Started, Found, Sent, and Booked - each corresponding to a distinct point in the workflow's lifecycle.
We're pleased to announce the release of Scala 3.8 - a significant release that modernizes the Scala ecosystem and paves the way for Scala 3.9 LTS. This release introduces a standard library compiled by Scala 3 itself, stabilizes highly-anticipated features like Better Fors (SIP-62) and runtimeChecked (SIP-57), and introduces experimental features including flexible varargs and strict equality pattern matching. A runtime regression was detected after publishing Scala 3.8.0 artifacts.
A real Tetris loop has time (ticks), concurrent inputs (keystrokes), state transitions (collision, locking, line clears), and non-determinism (piece generation). In many imperative designs, these concerns end up tangled in shared mutable state, which tends to produce bugs that are: hard to reproduce (timing-dependent), hard to test (logic mixed with effects), hard to debug (replay isn't deterministic).
One of my oldest open-source projects - Bob - has celebrated 15 a couple of months ago. Bob is a suite of implementations of the Scheme programming language in Python, including an interpreter, a compiler and a VM. Back then I was doing some hacking on CPython internals and was very curious about how CPython-like bytecode VMs work; Bob was an experiment to find out, by implementing one from scratch for R5RS Scheme.
From the discussions in the Jakarta EE Platform call[s] the last couple of weeks, it looks like we won't see a release of Jakarta EE 12 on this side of summer (on the Northern Hemisphere at least). The reason is that since Jakarta EE 11 was delayed by a year, most of the vendors are currently working on their implementations.