Lars | theRedbeard
@theRedbeardIO
Ship it right. I build products from concept to scale, rescue systems that hit their limits. Lars de Ridder | http://theRedbeard.io
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Building AI agent infra. Tether, Context Lens, context engineering patterns. Shipping code, sharing lessons. Building in public. Senior engineer, not an influencer.
AI tools getting so fast that the bottleneck shifted from "can we build this?" to "should we build this?" Most product decisions now expire before the code ships.
Big steps in UI work for Context Lens, it's starting to really come together. Headache to get Claude's subagent swarms to visualize properly...
Every “AI built this in minutes, by itself, on a typewriter” demo hides the hours and hours of prompt engineering, context wrangling and output post-processing. Show the real work, not just the magic trick.
Discord support in Tether works beautifully now; Claude Code on Discord ✅
Just realized: we're teaching AI to code while our interview process still tests humans on whiteboard algorithms. By the time we fix hiring, AI will be doing the interviews too.
Codex 5.3 is clearly tuned for more assertive actions like Claude. It just starts doing stuff now instead of first analyzing and asking.
Thank you Opus 4.6! Codex spent literally an hour yapping about how my Telegram config must be wrong. Opus just one-shot fixed it. Finally.
The real bottleneck in AI isn't compute. It's your mental bandwidth. You can scale swarms of agents all day, but you can’t scale the human in the loop. 🎬📽️
I wish coding agents would output the architectural changes they made in the form of docs / diagrams. Getting tired of just reviewing code.
That's not a vanity victory. The model that delivers the best price/quality will win out in the current phase. This gives income and clout. Of course when corporates step in it's a whole different ballgame.
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