Emanuel López
20.7K posts
Emanuel López
@timbislopez
- AI Lab https://t.co/r0LhESAKok - Wombat, herramientas para equipos de terapeutas.
Im gonna say it again Codex Usage limits are cooked. This is the first week, I’ve had to hold back. Im on 25x - soon 20x Theres no way in this world, when they reduce limits Codex will even be usable beyond 3 days. The battle is no longer the model. But the quota either lab provides.
Codex, Claude Code, and Cursor are all great tools. They're also much more different than you think. I did a comparison of the three, but not in the usual way. I went deep on how they differ philosophically.
Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation @thdxr (and lots of truth bombs:) Timestamps: 00:00 Intro 07:03 Dax’s path into tech 09:04 Early startup experience 13:16 Getting involved with open source 16:13 OpenCode 23:17 Anthropic banning OpenCode 30:34 From terminal to GUI 32:34 OpenCode’s business model 36:33 Why inference is profitable 39:11 GPU bottlenecks 40:54 AI hype 45:50 AI spending 48:47 Dax’s memo 55:41 Dax’s skepticism of predictions 58:58 Engineering culture at OpenCode 1:02:38 How building works at OpenCode 1:05:36 Taste and quality 1:11:32 Dax’s work setup 1:12:35 The role of engineers and EMs 1:15:50 Advice for engineers 1:18:12 Book recommendation Brought to you by: • @AntithesisHQ – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages antithesis.com/pragmatic • @WorkOS – everything you need to make your app enterprise ready workos.com • @turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable turbopuffer.com/pragmatic Three interesting thoughts from Dax: 1. No AI-native coding agent company is “winning” by being better with AI. Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete. 2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives! Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output. 3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt. Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.
Mientras internet explota en indignación/decepción con el nuevo Ferrari Luce, la empresa reportó que toda la asignación para 2027 ya está vendida a clientes VIP y coleccionistas prioritarios. Asi que, desde un punto de vista de negocio, podemos decir que fue un éxito.
Qué lindo debe ser levantarse y tener un 911 para salir a tomar un cafecito
Estudio nuevo: 73% de los devs juniors no pueden programar sin IA. Martín tiene 23 años, vive en Córdoba, cobra USD 1.200/mes como junior en una fintech. Nunca escribió un loop sin Copilot. No sabe qué es un puntero. No entiende el código que pushea. Pero sus PRs pasan review porque funcionan. Su tech lead lo sabe. No dice nada porque él tampoco entiende el 30% del código que genera Claude. El sistema entero funciona sobre algo que nadie comprende del todo. Y acá la pregunta que nadie quiere hacerse: ¿Martín es developer o es prompter con sueldo de developer? Porque si es lo segundo, hay alguien en Mendoza que ya hizo los números. Y no contrató a Martín.