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Today: Meta’s new coding model, OpenAI’s GPT 5 Codex guide, and lessons from a software developer who got 11 promotions at Microsoft.

Welcome to The Code. This is a 2x weekly email that cuts through the noise to help devs, engineers, and technical leaders find high-signal news, releases, and resources in 5 minutes or less. You can sign up or share this email here.

Meta releases a code model that 'simulates' before it writes: Meta just open-sourced CWM, a 7B parameter model that “mentally” simulates how code will run before generating it. Developers can already fine-tune CWM for domain-specific tasks.

Google brings AI agents directly into Chrome DevTools: The search giant just empowered AI models to directly control Chrome's developer tools through the Model Context Protocol (MCP), turning debugging into a conversation. Developers can now delegate entire debugging sessions to AI — just describe the bug.

Claude now turns Figma designs into ready-to-use code: Claude Code can now read Figma mockups and generate front-end code instantly. By analyzing components, design tokens, and auto-layout rules, it helps designers and developers move seamlessly from prototype to implementation. See how it works here.

Qwen3-Max climbs leaderboards with breakthrough coding skills: Following its successful Qwen3-2507 series, Alibaba has released what might be the most capable open model for developers yet. The enhanced version particularly shines in instruction following and complex reasoning tasks.

Microsoft engineer reveals the hidden playbook behind 11 promotions: Engineer David Fowler pulled back the curtain on an incredible career trajectory — rising from intern to Distinguished Engineer at Microsoft without ever leaving the company.

Ex-Stripe engineer drops the playbook for landing leadership offers: Two veteran engineering leaders just revealed the hidden psychology behind tech's most grueling interviews — and why most talented managers fail them.

Viam VP reveals how to lead engineers when you don't know their domain: After jumping from Microsoft's search algorithms to cancer data at Flatiron Health to climate tech at Arcadia, Kalmakis has cracked the code on leading across unfamiliar technical domains.

Senior Engineer’s Claude Code Guide to Get Ahead: While most developers use AI for "glorified autocomplete," a small cohort has discovered how to transform Claude Code into a force multiplier that fundamentally rewires their role from coder to development orchestrator.

How To Build Full-Stack Agent Apps (Gemini, CopilotKit & LangGraph): Most AI agent tutorials stop at the terminal. This tutorial shows how to wire LangGraph workflows into Next.js apps with live streaming, tool logs, and structured outputs.

LeetCode (but for Linux, Docker, and Kubernetes): A collection of carefully crafted practical problems — with automated checks, helpful hints, and step-by-step solutions.

Deep researcher with test-time diffusion: Google introduces TTD-DR, a research agent that models writing as a diffusion process through iterative refinement. The system beats OpenAI Deep Research by up to 74.5% on benchmarks, offering developers superior quality-latency tradeoffs for automated research tasks.

LLM Multi-Agent Systems—Challenges and Open Problems: Multi-agent systems leverage specialized LLM agents collaborating through structured workflows. Key challenges include optimizing task allocation, managing layered contexts, and implementing sophisticated memory architectures for effective agent coordination.

GPT-5 just passed the “Gödel Test”: GPT-5 tackles simple mathematical conjectures in combinatorial optimization, producing near-correct proofs for three of five problems. The results reveal meaningful mathematical reasoning capabilities and occasional originality, though the model fails when cross-paper synthesis is required, highlighting current limitations.

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Until next time — The Code team