Minha gente, fiz um site aqui pra visualizar os casos de COVID-19 por munícipio: https://t.co/Kwk3GxBZXR
Completamente open source, subindo nos ombros de gigantes como next.js (@zeithq), chakra-ui (do @thesegunadebayo), vx, d3.js entre outros ❤️
@ebrionesm@xNavalha This is the classic confusion of damage and might. Might is not reduced when the unit has damage on it. A 7 might unit with 6 damage on it is still a 7 might unit.
@adamwathan It’s about time we all agree to let go of Claude Code. A harness for developers must be open source, otherwise it serves the provider and not the developer.
@risaddex@matheuslf Rapaz, apertado essa conexão. Eu procuraria a companhia aérea só pra ter certeza que ela estão cientes da sua situação. Eu acho que dá, geralmente a staff da própria companhia aérea já te encaminha direto pra conexão.
4 of the most confusing terms in AI, defined:
Model: a blob of parameters, written during training. Does next-token prediction and nothing else. Stateless.
Harness: everything around the model that turns it into an agent: tools, system prompt, context window management, etc.
Environment: the world the agent acts on. Anything outside the harness that the agent perceives and acts on via tools.
Agent: a model, harnessed, in an environment.
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Opus is a model.
Claude Code and Claude Web are different agents, because their harnesses differ - even though the models are the same.
The file system is an environment. MCP servers add tools to the environment.
@mattpocockuk I had success by throwing away the prototype and rebuilding it with tracer bullets and using the prototype code as reference to the model. Got a much cleaner version of the app.
Just shipped Sandcastle 0.4.1.
- OpenCode, Pi, Codex support
- Podman, Daytona, Vercel support
It's becoming the simplest way to run any agent, sandboxed anywhere
Just implemented a feature using GitHub spec-kit.
It's an opinionated workflow for coding via an LLM. I used it with Claude Code, but it works with many different LLMs.
Wow. It does a LOT.
- Creates feature branch
- Generates a high-level plan
- Creates a quickstart doc for trying the feature
- Generates research docs about decisions and alternatives
- Outputs a detailed spec
- Creates a list of tasks based on the spec
- Implements tests first and enforces that they fail (TDD)
- Does the implementation using task list.
- Validates it all works by running linting, build, and tests (it fixed its own minor mistakes at the end too).
It's VERY thorough and organized, and walks you through a highly opinionated development flow.
I told it to create an admin feature for my restaurant app and it generated and implemented these 32 tasks, checking them off as it progressed.
If you're coding with AI assistance, you should absolutely try this. It's a real eye-opener to how far you can take things.
Agora é oficial: sou Lead Developer Advocate na @meteorjs ☄️
“Mas pera, MeteorJS ainda existe?”
Não só existe como tá mais vivo do que nunca! Tem versão nova, comunidade engajada e produtos além do framework.
Ansioso pra trabalhar com open source e por tudo que vem aí ❤️