hdoro

may brazil's victory be the beginning of the fall of fascism

Benefits of the CAFE stack (@Cloudflare + @alchemy_run + @foldkit + @EffectTS_) for building software with coding agents: 1. Agents invent less architecture. They focus on product-level execution within a well-defined architecture. You build faster, with more confidence. You focus on what makes your product unique. 2. Your codebase becomes semantically rich. Intent and meaning are explicit rather than left for future agents to infer. Each new agent spends fewer tokens reconstructing intent. 3. Tests read like executable behavioral specs. Expected behavior is easy to inspect, and both humans and agents can verify implementations against it. 4. Strong conventions result in remarkably legible AI-generated code. Agents do what you expect more often, with less steering. The codebase feels consistent and predictable. 5. Explicitness makes behavior clear. Unexpected magic has fewer places to hide. Diffs are easier to review. Yes, it’s more LoC, but who cares when you’re not writing it by hand?

I'd never!+1 Unrelated, but since your post on Pleat I've been reading a bit from Superposition and IdeaShift Pointers for more on "woman-computer symbiosis & applied techno-animism"? I also saw your permaculture post - any writing on its intersection w/ tech?

I think the issue with coding agents is actually very similar to AI generated art. At first glance it looks great, but it’s just a little bit… off. One too many fingers, if you will. Not quite right. You re-roll to fix it, but now something else is just a little bit off. Repeat ad infinitum. It’s just that software is invisible so it’s much less obvious and much harder to find.

Since the start of the year, @OpenCode (YC W21) — an open source alternative to Claude Code and Codex that works with any model — exploded to 4.6 million weekly active users, 13 million monthly actives, and roughly $40M in annualized revenue. In this episode of The Lightcone, @harjtaggar, @snowmaker, and @sdianahu talk with Jay V (@jayair), OpenCode’s CEO, about what’s driving this wild growth, the Anthropic clampdown that inadvertently fueled it, and the almost 20 year founder journey that led him here. 00:44 — OpenCode’s Explosive Growth 01:16 — 20x Growth, 13M Users, and 7 Trillion Tokens 03:39 — The Anthropic Controversy That Changed Everything 05:43 — Bringing AI Coding Agents to the World 06:39 — When Open Source Models Became Good Enough 08:56 — What Millions of Developers Are Actually Using 13:31 — Why OpenCode Is Huge Outside the US 15:27 — Why Fortune 500 Companies Choose OpenCode 16:36 — The Economics of AI Tokens 20:02 — How Enterprises Are Using Coding Agents 22:58 — AI’s New Unit Economics 24:56 — Why Model Choice Matters 29:55 — The Product Decisions Behind OpenCode 34:21 — A 16-Year Overnight Success 41:16 — Why Jay Never Gave Up

If they really start to gatekeep who gets to use the best models, that is a declaration of war. This prospect fills me with the most sincere, bodily cypherpunk will-to-power that I've ever felt (at least since I was a teenager). If they really go down this route, I would go all-in on building the most psychotic swarms of open-source models and fine-tunes possible, all geared toward a Chaotic Good jamming of the entire institutional public sphere. If we didn't do that, all of political life and the marketplace of ideas would be over before we know it. It's one thing if the top models become too expensive for me or others to use (I'm already pricing that in, and if you can't build something profitable enough to climb that ladder as it gets pulled up, then that's fair enough). But if the ladder gets pulled up politically, now, so only select institutional players get access to the most intelligent models, then any mature American man should be as energized as gun collectors are around the 2nd Amendment, or liberal women are around Planned Parenthood.