Augustus

@HeyGen Linetime

You can now edit HyperFrames’ Timeline directly! Drag in preview → video updates When Claude Code struggles with timing, you can give it a hand Experimental, open sourced in @hyperframes/player $ npx hyperframes upgrade RT + Comment "Timeline" for source code (must follow)

Big shout out to @liu8in @Rames_Jusso @Miguel07Code on their work building and open sourcing this!

🙌🙌🙌

Want to give your agent quality checks? Chrome's DevTools MCP now includes: ⚡️ Performance checks via Lighthouse 📈 Memory leak detection Skill 🦻 Accessibility debugging Skill 🎨 LCP optimization Skill and an experimental new CLI 👀

Introducing Tegaki, a handwriting animation library for the web. Works with any font or text.

Harness, Memory, Context Fragments, & the Bitter Lesson this is a work in progress mental dump on interesting intersections between how we use and design a harness, implications for memory being accumulated over long timescales, and the search bitter lesson we can’t escape this is v30+, HTML diagrams help me iteratively refine + chat to roughly “see” and alter the mental model Harnesses & Context Fragments: a very important job of the harness is to efficiently & correctly route data within its boundaries into the context window boundary for computation to happen the context window is a precious artifact. Harnesses make decisions on how to populate, manage, edit, and organize it so agents can do work. Each loaded object can be thought of as a Context Fragment and represents an explicit decision by the user and harness designer of what needs a model needs to do work at any given time. many ideas on externalizing objects + loading into the context window are pioneered and very well described by @a1zhang with RLMs Experiential Memory: we’re in the very early days of deploying agents and agents produce massive amounts of data in every interaction they have. this is akin to humans doing things and remembering things they did. however agent memory has a massive advantage as it can be accumulated across all agents which are easily forked and duplicated (unlike humans). @dwarkesh_sp does a good talking about this massive benefit of artificial systems memory can be treated as an externalized object. the harness is tasked with doing good contextualized retrieval which means pulling in the right data from accumulated memories across all agent interactions Search & The Bitter Lesson: As we deploy agents in our world over year timescales, there is going to be a hyper-exponential in the amount of data produced by those agents. We should want to: 1. Own that data for ourselves. Open ecosystems are important here 2. Use that data This means that we’ll have to search over, distill, and organize massive amounts of data. Our brain is exceptional at doing this. Both contextually using prior experience and mostly committing the right stuff to memory with enough intentional practice. Our current infrastructure systems and algorithms will be put to the test and often break as we get used to this new data regime some open questions: - how do we efficiently distill experiences (Traces) into higher level memory primitives that capture the important parts? How do we do this over ultra long time horizons? - How much of the future is Search just-in-time vs Search that gets integrated into model weights? - How do we make models much better at self-managing their context window? How do we reduce error rates in recursively allowing agents to operate over external objects? i’ll be expanding on, altering, and adjusting these mental models but these feel like an important subset to me on the future of designing agents practically

Mistakes happen. As a team, the important thing is to recognize it’s never an individuals’s fault — it’s the process, the culture, or the infra. In this case, there was a manual deploy step that should have been better automated. Our team has made a few improvements to the automation for next time, a couple more on the way.

‼️Do not npm install or deploy anything right now Supply chain attack on axios 1.14.1 - even if you don’t use axios it may be a nested dep. Pin versions or wait until this is resolved

@lydiahallie Appreciate the comms! 🙌

Update: still working on this. It's the top priority for the team, I know this is blocking a lot of you. More as soon as we have it.

We're aware people are hitting usage limits in Claude Code way faster than expected. Actively investigating, will share more when we have an update!

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

Introducing Expect Let agents test your code in a real browser 1. Run Claude Code / Codex to QA your app 2. Watch a video of every bug found 3. Fix and repeat until passing Run as a CLI or agent skill. Fully open source

I like to help think I started this incident but glad it's something being worked on🙏 status.claude.com/incidents/f4wq…

Clicking on the link, just takes me to the same place in the iOS app asking me for the code so I'm stuck

Not sure if anyone @claudeai can look into this, but I think your sign in flow is really broken. On iOS sign in, I get prompted to get a code via email when signing in but then I get emailed a link to sign in which gives me no code.

i've distilled everything i've written on userinterface.wiki into a single skill file. 119 rules across 11 categories across animations, timings, ux laws, typography, audio, and more. npx skills add raphaelsalaja/userinterface-wiki

Super clever way of introducing UI changes that break against users habits in a sane way

Released today: /loop /loop is a powerful new way to schedule recurring tasks, for up to 3 days at a time eg. “/loop babysit all my PRs. Auto-fix build issues and when comments come in, use a worktree agent to fix them” eg. “/loop every morning use the Slack MCP to give me a summary of top posts I was tagged in” Let us know what you think!

It's actually crazy how AI coding is making building software so much more approachable to everyone. What a time to be alive