Anthony Denkinger @agentdenk
Product architect. Shipping AI agent systems in public — judgment over credentials. https://t.co/PO8iKYcgrR · Medium @anthonydenk anthonydenkinger.com Scottsdale, AZ Joined April 2024-
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Letting an agent build while I sleep only works because it can't grade its own homework. Separate tests decide what ships.
Hit my GitHub Actions spending limit this week. Now CI is one quick check and everything heavy runs when I say so. Should've done that from the start.
Best part is watching it confidently ship a fix that makes things worse, and the tests just say no.
Biggest surprise is the agent isn't the bottleneck. My one GPU is. It writes fixes faster than I can test them.
Been letting an agent build overnight while I sleep. It opens PRs, but nothing merges unless it passes my tests on real game film.
How are people handling team assignment in basketball video when jersey colors are close? Every rule I tweak fixes one game and breaks another.
@tokufxug Using McByte++ and it's awesome. No training, and the ID sticks when a player leaves the frame and comes back. It only runs the heavy re-ID and camera correction when it actually needs to.
Every speed win on a tracker is really an accuracy trade. The skill is knowing which frames can afford it.
If you let Claude Code or Codex run unattended, update both today. Claude Code now asks before deleting a path it built itself, and Codex asks before elevated commands by default. Small change, big save.
Sonnet 5.5 is out. Honestly the middle tier is where I end up spending most of my day, so this one matters more to me than another Opus bump.
Full story on Medium (Ratchet essay): medium.com/@anthonydenk/i… Site: anthonydenkinger.com
Every morning I’d re-introduce myself to my AI like we’d never met. Same project. Same stack. Same bug I’d already corrected. Goldfish memory, dressed up as a coding partner.
“It learned something” isn’t an ending. It’s a claim. Most of the industry is taking that claim on faith. I’m not. If that’s your world too, tell me where I’m wrong.
Fixed it: a skill also has to help on problems it was never shown. Independent graders beat a model grading itself. Cheaters out. Real skills stayed. Forward, never backward.
AI Twitter has a benchmarking addiction. Meta drops Muse Spark and half the replies are basically “but is it smarter than X?” Brother, if your agent needs frontier IQ to rename files, scrape docs, and click buttons, the model is not your problem.
I’ll admit it, I was too skeptical of Grok 4.5. The launch felt loud, so I discounted it. But after using it more, the value is pretty obvious: fast, direct, and cheap enough to keep in the loop. That combo matters more than people want to admit.
The problem with most AI agents is not that they miss context. It is that they do not know which context matters. For a writing agent, memory is taste, prior posts, rejected angles, and what you already said yesterday. Otherwise it gets confidently derivative.
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