TLDR Dev

TLDR DEV 2025-12-10

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01GENERAL

Sponsored

FLUIDSTACK TO TURN BARE METAL INTO GOLD

Fluidstack recently announced a $50B AI infrastructure deal with Anthropic [5]. They deploy compute at speed and scale for frontier labs -- and they're hiring for 50+ roles [4] in San Francisco, New York, Austin, and London:

careers.fluidstack.ioSponsor

02ARTICLES & TUTORIALS

WHY FROZEN TEST FIXTURES ARE A PROBLEM ON LARGE PROJECTS AND HOW TO AVOID THEM

Test fixtures often become "frozen" in large software projects because modifications risk breaking thousands of unrelated tests that make implicit assumptions about the data. The recommended solution is to write highly focused tests that assert only the specific property they intend to verify, rather than comparing entire data structures.

radanskoric.com8 min read

BACKGROUND CODING AGENTS: PREDICTABLE RESULTS THROUGH STRONG FEEDBACK LOOPS

Spotify's background coding agents use verification loops to stay on track. Independent verifiers, like Maven, build systems and tests that run automatically and give incremental feedback. An LLM judge also vetoes PRs when agents get too creative and drift from their prompts.

engineering.atspotify.com8 min read

03OPINIONS & ADVICE

OWN A GRAPH

If you're working in tech, you should "own a graph" as a critical unit of responsibility. This practice helps focus on and track progress for important, multi-quarter problems, making sure your work is directed towards meaningful outcomes. Graphs are the most powerful tool for concisely communicating impact.

blog.staysaasy.com4 min read

04LAUNCHES & TOOLS

Sponsored

BEFORE YOU PICK AN AI PROTOTYPING TOOL, ANSWER ONE QUESTION

Most teams ask "Which tool is best?" The better question: "Which approach gets us from idea to collaboration fastest?" Miro's AI prototyping landscape guide [10] provides a requirement question set, decision framework, and evaluation scorecard so you can pick the tools

miro.comSponsor

INTRODUCING: DEVSTRAL 2 AND MISTRAL VIBE CLI

Mistral AI has launched Devstral 2 and Devstral Small 2, its next-generation open-source agentic coding models, along with the Mistral Vibe CLI for end-to-end code automation. Devstral 2 (123B) is a state-of-the-art model establishing new benchmarks for open-weight code agents. The Mistral Vibe CLI provides an open-source command-line interface that uses Devstral models to autonomously explore, modify, and execute changes across entire codebases.

mistral.ai6 min read

DURABLE STREAMS

Durable Streams is an open protocol that provides real-time sync to client applications. It supports catch-up reads and live tailing. The protocol works anywhere HTTP works, and it is built on standard HTTP with no custom protocols. Durable Streams is built for production scale. It complements backend streaming systems by reliably streaming data to client applications.

github.comGitHub repository

STREAMDOWN

Streamdown is a drop-in replacement for `react-markdown` specifically engineered to handle the unique challenges of streaming Markdown content from AI models. It fixes issues like incomplete or unterminated Markdown blocks. Streamdown supports GitHub Flavored Markdown, LaTeX math rendering, Mermaid diagrams, and Shiki code highlighting.

github.comGitHub repository

FATE

Fate is a modern data client for React and tRPC that simplifies data fetching and state management. It combines features like view composition, normalized caching, data masking, and Async React capabilities with tRPC's type safety.

github.comGitHub repository

05MISCELLANEOUS

MAKING MACOS BEARABLE

Stock macOS can be inefficient and disruptive. To regain a frictionless workflow, this dev re-engineered macOS to reduce visual searching and manual interaction. This was done by using Aerospace for deterministic window management, Tmux for streamlined development, modal editing for text manipulation, and tools like Vimium and Homerow for keyboard-driven navigation across the browser and OS.

seg6.space5 min read

WRITING OUR OWN CHEAT ENGINE: INTRODUCTION

This post introduces the goal of writing a small Cheat Engine clone in Rust to understand how the original tool functions by replicating its tutorial steps. The first step focuses on learning to enumerate active processes, opening them, and retrieving their module names programmatically. This is done through Windows API functions like `EnumProcesses`, `OpenProcess`, `EnumProcessModules`, and `GetModuleBaseNameA` while managing Rust's `unsafe` code.

lonami.dev15 min read