Le meilleur du dev et de l'IA, scoré chaque jour par un agent. Filtré, résumé, classé. Aucune couleur, aucun bruit — juste la matière.
Techniques for better software testing surveys a range of approaches to improve test quality and reliability. It discusses strategies for designing tests, selecting appropriate testing methodologies, and integrating testing into the development workflow. The article serves as a practical primer for shaping more robust testing practices in modern software projects.
Researchers uncovered a malicious dependency in the PyTorch Lightning AI training library, tied to a Shai-Hulud themed malware. The post explains how the compromised package could be exploited within AI training workflows and the potential security risks.
The GCC 16 Release Series outlines changes, new features, and fixes across its compiler toolchain. The notes cover improvements to optimization, language standards support, and bug fixes, with version-by-version details. Developers should review the changes to understand potential impacts on builds and flags.
Google is rolling out the Gemini AI assistant to cars with Google built-in, replacing Google Assistant with a more natural conversational experience and better access to vehicle information and settings. The upgrade will reach both new cars and existing ones via a software update, continuing Google's promise that your car will get better over time. This marks a notable shift in in-car AI capabilities and OTA updates for automotive systems.
OpenAI is addressing its 'goblin problem' after reports that its coding model was instructed to never mention goblins or similar creatures. The company says these references are a 'strange habit' from training, appearing with GPT-5.1 and the Nerdy personality, and they're taking steps to curb them.
CSS Zen Garden demonstrates how a single HTML page can be dramatically re-styled with just CSS, underscoring the power of CSS as a design tool. It serves as a reference for frontend theming and CSS techniques, showing how typography, layout, and visuals can change without altering markup. A senior dev can draw patterns for design systems and inspiration for CSS architecture.
Amber-Lang 0.6.0 adds multi-shell support (Bash, Zsh, Ksh, and Bash 3.2), along with recursion, union types, and public variables, plus a built-in testing suite with assert. It also delivers performance gains via native Bash arithmetic, new builtins (fetch, touch, rm, ls), LGPL licensing, and breaking changes like mandatory parentheses for builtins and stricter out-of-bounds array checks.
Servo makes progress with keyboard navigation improvements, better debugging tooling, and FreeBSD support, plus additional updates. The post highlights enhancements aimed at developers, improving ergonomics and tooling. This marks ongoing open-source collaboration and maintenance for the engine.
Streaming UIs look simple at first glance but are technically hard. Designers must handle layout shifts, motion preferences, correct markup, and multiple UI states, while also planning for interruptions and ensuring keyboard navigation works as the UI shifts. ARIA attributes and accessibility considerations must be addressed.
Grok 4.3 is now available on Vercel AI Gateway, with a December 2025 knowledge cutoff and a 1M token context window. The model improves accuracy, tool calling, and instruction following. Use xai/grok-4.3 via the AI Gateway/SDK, which provides a unified API, usage/cost tracking, automatic retries, and features like custom reporting, observability, and Bring Your Own Key.
Futhark breaks a decade of C API compatibility, introducing breaking changes to its C bindings. The post explains the motivation, outlines the migration path, and discusses the impact on existing projects relying on the old API.
Observability is essential when building AI-driven products, enabling you to see, debug, and improve agent behavior as conversations and calls grow. Day 3 guides you through setting up Langfuse, exploring traces with custom metadata, and building a time-aware web scraper tool to turn the DeepSearch agent into a well-understood system.
Observability is crucial for AI-driven products since responses can drift. Day 3 shows how to see, debug, and improve agents using Langfuse, traces, and custom metadata, and to build a time-aware web scraper tool.
Dans ce workshop, on aborde des patterns avancés: une boucle évaluateur-optimiseur et l'affichage des sources côté frontend. L'agent devient une simple logique if-else et l'objectif est d'optimiser via une boucle d'évaluation, inspirée par Anthropic. On propose aussi d'afficher les sources sous forme de cartes dans l'UI pour plus de traçabilité.
Using Vercel AI SDK's useChat, you can prototype a chat quickly, but turning it into a durable, persistent product requires backend persistence, real-time updates, and solid routing. The workshop guides you through building a POST /api/chat endpoint that streams OpenAI completions, using Drizzle to create and return a chatId, saving messages as they stream, rehydrating the UI with past conversations, and keeping the sidebar in sync via route revalidation.
This workshop examines how much control the LLM should have over the app's control flow, pitting agents against workflows. It notes that more agentic systems offer flexibility, while deterministic workflows improve predictability. In upcoming exercises, the dial will be turned back toward determinism to test concrete patterns.
Utiliser useChat de Vercel AI SDK permet de lancer rapidement un chatbot. Cette session montre comment transformer un prototype en chat persistant: endpoint POST /api/chat, enregistrement des messages avec Drizzle, routing par chatId et réhydratation de l’UI à partir de l’historique stocké. Vous obtiendrez une expérience end-to-end avec streaming, sauvegarde et rechargement des conversations.
The workshop advances an evaluator-optimizer loop: the model answers when it has enough information and searches for the rest. It also covers displaying sources in the frontend as a card-like list (favicon, title, snippet). The practical goal is to implement an optional Ask Clarifying Questions step and reuse a frontend source-display pattern.
Observability is crucial for AI-driven products; Day 3 covers seeing, debugging, and improving agents. You'll set up Langfuse, explore traces, and add custom trace metadata, then build a time-aware web scraper tool. By the end, your DeepSearch agent becomes understandable and deployable with confidence.
Day 1 guides you through building a real AI agent in TypeScript, from wiring an LLM with the Vercel AI SDK to debugging tool calls and securing the app. It covers tool integration (Serper), authentication (Discord login), and rate limiting, showing every step, tool call, and source. By the end, you have a working agent that chats, searches, and transparently explains its work.