gabriel-uribe

I'm glad the open source frontier is advancing, but man, with Opus 5.5 I feel no need to look elsewhere. Such a good, cost-effective model for full-time work on the $100/mo plan.

Self-hosted is the way. Small potatoes in comparison, but I also made the change this year as my CI usage went from <3k mins/$0/mo -> $100+/mo.

Migrated actions to a spare M2 MacBook Air at home, and when offline, uses hosted Actions as a backup. Bonus: has simulators/emulators for ease of running Maestro tests for mobile QA.

More done + more leisure.

I generally use the $100-200 Codex/Claude subs, and have been blown away by the usage I get from OpenCode Go at $10/mo. At a minimum, excellent for automatically piping reviews to from Codex/Claude.

Blast from the past. I remember reading this site's A* intro when I was in college trying to use A* for our robotic's team autonomous sailboat.

Haven't been excited for a Gemini release since December. Wild to see.

Appreciate it! I plan to. To be fair, I've made small updates here and there to this one. Just no overhaul/expansion yet.

Best of luck on the beta & release!

We're still in the early adoption phase. Betting against the internet wasn't a great idea, and betting against AI doesn't look like one either ;)

Fwiw, don't buy into all the hype that you're falling behind. Yes, AI does cool things now, but I would say the impact is still unproven past indie hackers or early-stage startups. And a lot of the esoteric setups people have created with things like OpenClaw have become outdated as quickly as they were conceived.

The popular thing is now to setup loops (eg I setup hourly integrations for Claude/Codex to 1) scrape my Linear, claim achievable tasks, and push PRs or 2) do root cause analysis on customer issues that evaded automated filters, to name a few)

Though for me, my setup still feels mundane. I have AGENTS.md, CLAUDE.md etc and a few skill files. These are purposefully light - tons of examples online you can pull from online. Mine are fairly personal to my setup and products.

Importantly, I also allow Claude and Codex to bypass permissions. Yes, there is a risk they wipe my machine. The productivity upside has been worth it, for me (haven't been burned yet, ~9+ months into running models this way, I have backups, use cloud etc).

As far as maintaining quality, one of the most helpful guardrails over the past year, for me, has been requiring my agents to pipe their changes to local reviewers through OpenCode, Cursor, etc agents to have a council of models with different biases reviewing the changes, and autonomously working towards a completed objective. No matter how good Claude or Codex gets, for example, I will probably always want a different model checking its work. Like GLM, (now with 4.5) Grok, Composer.

Several OpenAI, Anthropic, xAI employees, and popular AI engineers post on X and share helpful tips & updates. Highly recommend for keeping a pulse on startups and AI. I haven't found something close, honestly, other than when I spend time in SF talking to people.

Wasn't writing about major companies. That's obviously next, if we follow the trend lines.

I was also under the impression modern AI agents have moved on from just OCR'ing screenshots to leveraging native vision model capabilities.

I remember being blown away by o1-o3 family of models finally stringing together coherent agentic tool calls to write and execute scripts semi-reliably for workloads in the several minutes before they would start hallucinating/flailing. GPT 5 was a bit ahead of that, but barely

Now we take for granted that the latest models can juggle between multiple browser tabs, applications, databases, simulators, docker etc to write, execute, e2e test and deploy full-stack applications over hours managing up to dozens of subagents, relatively untouched, without taking down prod even 1% of the time

Not only this, but in the GPT 5.0 era, agents had 0 taste. Nothing looked good. It was the agentic version of the twitter bootstrap era, but worse somehow. Now, I would argue the average agent frontend beats the average human frontend. This isn't even getting into 3D applications in the GPT 5 era

Anyway, the models now reliably execute more than a human can fit into their own context. It's magic

This season of Silicon Valley is getting spicy