Diego Castillo (@diegocasmo) 's Twitter Profile
Diego Castillo

@diegocasmo

product builder β€’ jazz guitarist β€’ swe @remote @tonebuilderai AI-powered preset creation for line 6 helix devices

ID: 286533729

linkhttps://www.tonebuilder.ai/ calendar_today23-04-2011 05:38:55

1,1K Tweet

285 Followers

447 Following

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

The online narrative is just throw everything at agents and figure it out. I use them all day, I barely write code myself at this point. But the people who seem to get the best results are strong engineers. I think foundational knowledge still matters a lot, maybe even more now.

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

It seems not to matter how strong these models get, you eventually start to get a grasp of their limits. Just sort of an interesting thing you notice as you use them.

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

It has become increasingly clear to me that one of the most interesting areas to keep an eye on right now is how you maintain a solid understanding of a codebase as more work gets delegated to coding agents. You can only make good trade-offs if you have such understanding. Even

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

The Buffer Public API and MCP server are now in public beta. πŸŽ‰ We built an MCP server that lets AI assistants manage your Buffer content. Schedule posts, browse your queue, check channels, and capture ideas. It works with Claude Desktop, N8N, Zapier, Claude Code, Raycast, and

The <a href="/buffer/">Buffer</a> Public API and MCP server are now in public beta. πŸŽ‰

We built an MCP server that lets AI assistants manage your Buffer content. Schedule posts, browse your queue, check channels, and capture ideas. It works with Claude Desktop, N8N, Zapier, Claude Code, Raycast, and
TanStack (@tan_stack) 's Twitter Profile Photo

You asked for TanStack skills, we built the whole pipeline. Introducing TANSTACK Intent (alpha) πŸ“¦ Ship agent-readable "skills" inside npm packages πŸ” Auto-discovered from node_modules πŸ”„ Knowledge sync with npm update πŸ“‚ Distributed - skills live in library repo 🧩

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

It's easy to jump straight into implementing something without really understanding your options. Worse, you might not even be working on the right thing in the first place. As execution gets faster and cheaper, deeply thinking through what to do, how to do it, and most

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

Software has been composable for decades. You don't build everything from scratch. You plug into what's already there. Libraries, APIs, contracts. Products weren't like that. You logged into an app, used what they gave you, and that was it. Some offered a public API but most

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

There's a version of shipping fast that comes from understanding the problem and a version that's just because it's easy now.

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

More people are being upfront about steering AI agents, rejecting suggestions, and carefully reviewing changes. It's quite refreshing after so many vanity metrics for a while now. The hype cycle is tiring. Once you've used these tools enough, you realize they are obviously

Rhys (@rhyssullivan) 's Twitter Profile Photo

your MCP server should include skills in the resources part of it, and for clients that don't support resources ship a 'load_resources' tool as a fallback

Diego Castillo (@diegocasmo) 's Twitter Profile Photo

Coding with AI is wildly inconsistent. Some sessions feel like magic, others the model confidently invents APIs for hours.