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making stuff https://t.co/9p74T94W9E
@thdxr chronicle? it takes screenshot of covos and uses 5.5 to generate memory files. they also made a mini blog on it.
https://t.co/eurv6vCt6e
@DashCanvas @cormacb https://t.co/QbIGV5zoVk
recommended reading. simple is good, simple is beautiful. simple works. https://t.co/hAScJO5OdF
https://t.co/FvKy1StDpQ
My talk from AI Engineer is now live!
It covers how we're automating parts of AI research and building systems to rapidly improve our models. I cover some of the work our team did to train Grok 4.5 together with SpaceXAI. https://t.co/Sj5hVvfHSj https://t.co/ZTgXHQ6PGC
China open-sourced a model that reconstructs any scene in 3D from a regular video, in real-time.
one camera. no LiDAR. 10,000+ frames without falling apart.
just walk around with your camera and watch the entire world get rebuilt in 3D at 20 fps.
→ runs at ~20 FPS on a single GPU
→ Stable over 10,000+ frames
→ Beats optimization-based methods on benchmarks
→ Works on drone footage, driving videos, indoor walkthroughs
100% open source.
codex is really good at writing code on tldraw https://t.co/vJUuMmhmgw
Infrastructure as Code is solved. There's no longer any excuse for a service not to have it.
Here's a walkthrough of Alchemy's automated flywheel that generated 100% coverage for both AWS and Cloudflare.
1000s of Resources and Bindings, zero slop. https://t.co/lfpsCpFXjC
introducing Scan 🩻
give a prompt to claude or codex and it makes this beautiful shareable maps of your codebase
free, fast, and oss! https://t.co/PIalokCcMP
I just released LeetLLM: a free, problem-based course with 48 lessons for building a small LLM inference engine for Apple Silicon in Swift and Metal, from dot products and GEMV through attention and token generation.
Feedback is very welcome:
https://t.co/OGE7MkRLYS
Over the past 6 months we've maniacally prepped our repos to be coding agent friendly. Here are some things that worked.
1. Make CI blazing fast. Use every Rust, Zig, or Go ported tool that lets agents verify their work. This means UV, oxfmt, Typescript 7. Move integration tests to post merge hooks.
2. Trigger coding agents automatically based on triage labels. A coding agent should setup a proof of concept or repro steps automatically so an engineer can pick up the issue seamlessly.
3. Setup crons for things devs hate doing. Setup agents to fill SDK gaps, skill tuning, filling in critical regression checks.
4. Give agents ways to prove their work. Add screenshotting skills, agent-browswer, cloud storage for storing assets.
5. Make it possible to hermetically deploy your app, preferably multiple at a time. If a coding agent can deploy the app locally, the faster it can work.
6. Give the agents realistic production "simulation" data. Agents will work much better when they are working against data that looks like how your users use the product.