# ai

Cursor's Head of Design, Ryo Lu, wrote this late at night: the sweetness and pain of turning a dream into a job, machines getting good at the things that used to feel close to the heart, and why the only thing that matters is the relationship with the source.

Popular AI library LiteLLM was hit with a malicious backdoor — just installing it could trigger credential theft of SSH keys, cloud tokens, and crypto wallets.

Cursor announced on X that Composer 2 is now available. The official post was just one sentence and a screenshot — no changelog, no details.

Alexey Grigorev compiled 200+ resources from major AI labs, engineering teams, practitioners, and community discussions into Awesome AI Engineering — a curated list that connects how companies build AI, how they hire, and what skills keep showing up.

Thariq announced a new session-level feature: you can now set effort to max, letting the model reason longer and use as many tokens as needed. The catch? It burns through your usage limits faster, so you have to enable it manually each session.

DevvMandal announces the release of what they claim is the world's largest open-source computer-use recording dataset — over 10,000 hours of Salesforce, Blender, Photoshop and more, aimed at automating the next level of white-collar work.

Dan McAteer's tweet questions a common leap in logic: if AI automates software engineering, software demand keeps growing, and trained engineers are best positioned to ride the wave — how does anyone conclude that engineers are screwed?

Simon Willison published notes on Tobi Lütke's autoresearch PR — an AI-driven experiment loop that made the Liquid template language (which Tobi created for Shopify 20 years ago) 53% faster with 61% fewer memory allocations.

Deirdre Bosa points out a notable shift: the same private equity firms that pushed cloud software into portfolio companies a decade ago may now use AI as a reason to rip those SaaS tools back out.

How hard is it for a Data Engineer to become an AI Engineer? Alexey Grigorev says way easier than you think — because AI engineering is still engineering, and the hard parts are exactly what DEs already do every day.

When an $8,000 legal memo becomes a $20 subscription, GDP drops 99.7% while actual output stays the same. SemiAnalysis argues we need tools from feminist economics to measure AI's real value.

DataTalksClub founder Alexey Grigorev shared the AI Engineering Buildcamp syllabus: LLM APIs, RAG, Agentic Flows, Monitoring & Guardrails, Evaluation, and a capstone. A practical learning path for building agentic AI in production.

Everyone stares at the first 5 years of AI compute profits. But the real game is decided by what happens after the contract expires.

Claude Code shipped Auto-Memory — AI can finally take its own notes. But we've been doing this with OpenClaw for months. A hands-on comparison of two memory architectures: design philosophy, real pitfalls, and why memory is a trust problem, not just a tech one.

Chris Lattner reviewed the Claude C Compiler built by 16 parallel Claude Opus agents. His verdict: AI can assemble serious engineering systems, but it mostly recombines known knowledge. His Modular team expectations read like an AI coding strategy guide.

A Tech Lead uses his blog as a training ground, learning 12 quality metrics with an AI tutor through RPG-style Level-Up teaching while subagents implement in parallel. The real takeaway is not the metrics, but a reusable AI-assisted learning method.

Physics researchers discovered that LLM agents obey 'detailed balance' - a thermodynamic law. This isn't a bug, it's a feature.

Cursor CEO claimed they built a browser from scratch using GPT-5.2, but developers discovered it was just stitching together existing open source components

Private data × Untrusted content × External communication = Perfect security disaster, and it's already happening everywhere

Vercel CEO Guillermo Rauch shares their AI support system achieved an all-time high of 87.6% autonomous resolution rate — and customers love it