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The wordmark White type on black — the classic case. The whites are selected automatically. glows: whites Original artwork, converted with this tool. Drag the handle; on an HDR display in a capable browser the right side glows. “Use this” loads the original into the tool above. A white ring plus one brand color. Whites and the blue are both pushed to the same peak. glows: whites + #2f6bff Cream t…

One recording, four upgrades on autopilot Rackast follows your clicks and zooms in on what matters. Small screens still look sharp. Record. Polish. Export. Record Record your screen, webcam and audio Polish Let automatic zoom, smooth cursor and captions do the work Export Export a crisp MP4 ready for YouTube, socials or your docs Export up to 4K at 120 fps Frame-accurate offline rendering. Ship a…

Valeria Viana Gusmao
14h ago

A practical guide to navigating identity crisis and poor developer experience while trying to stay ahead of the curve of coding with AI agents. [read more] Agile AI Development Lifecycle At the end of 2025, AWS open-sourced their AI-DLC methodology. At first it looks like an easy-to-adopt (just drop markdown files into your repository) framework that should take one from pre-AI software developme…

No artificial mount-time loading delay — drive skeletons from real async. useEffect(() => { setTimeout(() => setLoading(false) AI frontend skill pack Registry-routed. Machine-enforced. Anti-slop by default — a request loads exactly one of 19 skills, and everything it writes is held to 60 checks before it ships. Scroll to explore 01 — The problem Behind the router sits 372,212 tokens of refere…

The brain layer The brain behind every agent. One shared brain that Claude, ChatGPT, Cursor, and every AI can read and write. It structures what you know so agents read only what they need, and means you never explain yourself twice. - freshpositioning what we sell and to whom - freshclients/meridian scope, current terms, contacts - freshvoice how I write, words I never use - agingprojects/q3-lau…

AI Agent Observability, Evaluation, Governance & Policy Enforcement Enforce, not just observe. How many AI agents are running right now? Which agent generated the most LLM cost? Did any agent expose customer data? Did any agent use a restricted LLM model? Is this prompt better than production? Can you prove compliance? $ traccia.init() one init call — trace, cost, and govern every agent One Dashb…

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