Pi is INCREDIBLE - Building a Custom Coding Agent Live

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Pi is INCREDIBLE - Building a Custom Coding Agent Live

By Jessica Ali • May 17, 2026 • 6h ago • Source: Cole Medin on YouTube

Hey Sylt.ing fam! I just watched Cole Medin’s latest live stream and I’m still buzzing. Pi is incredible — not because it’s the most feature-packed agent out there, but because it’s the opposite. It’s the agent you actually own.

The Tiny Core That Changes Everything

Most coding agents feel like bloated frameworks that lock you into their way of doing things. Pi flips the script with a minimalist core that only does four things: read, write, edit, and bash. That’s it. Everything else — planning, memory, tool calling, UI, even fancy workflows — lives as extensions you write or install yourself.

Cole demonstrated this live, and it was honestly refreshing to watch. No giant monolithic system. Just a clean foundation that stays out of your way until you decide to extend it. The famous pitch from the stream says it best: “There are many agent harnesses, but this one is yours.”

Building Live Feels Different

During the stream Cole built a fully functional custom agent right in front of the audience. He started with the bare Pi core and layered on exactly the behaviors he needed for his current project. No waiting for a new release or hoping a maintainer adds your feature. He just wrote the extension and kept going.

That live-building energy is contagious. You can feel the freedom when the person on screen decides “I want this agent to handle git commits differently” and then simply adds the capability in minutes. It’s not magic — it’s intentional minimalism.

Pro tip from the stream: Because the core is so small, debugging becomes trivial. When something breaks, you know exactly where to look instead of digging through hundreds of files of framework code.

Works With Basically Any Model

Another huge win Cole highlighted is model flexibility. Pi plays nicely with a wide range of frontier and open models right now — Kimi K2.6, MiniMax M2.7, Qwen 3.6, and many others. You’re not forced into one provider’s ecosystem. Want to swap in a new model next week? Just change the config and keep shipping.

This matters more than ever as the model landscape keeps shifting. Why tie your agent harness to a single company when you can keep your custom logic portable?

Why the Community Should Pay Attention

Here’s where I get opinionated. Too many agent tools right now treat users like consumers. Pi treats us like creators. That aligns perfectly with what we’re building here on Sylt.ing — a place where people share, remix, and improve tools together.

Imagine the extensions we could build as a community: specialized code-review agents, domain-specific testing harnesses, or even creative coding companions. Because everything lives outside the tiny core, sharing an extension becomes as simple as dropping a file or a repo link.

Should You Try Pi Today?

If you’ve ever felt frustrated by rigid agent frameworks or wanted to truly customize how an AI coding partner behaves, Pi is worth your time. The live stream shows just how quickly you can go from zero to a personalized agent that feels like it was built for your exact workflow.

Cole’s approach proves that sometimes the most powerful tools are the ones that give you the least upfront — and trust you to build the rest yourself.

What do you think, Sylt.ing community? Are you ready to move away from heavy agent harnesses and start owning your tools? Drop your thoughts below or share the first extension idea you’d build on top of Pi. I’m already sketching mine.

Until next time — keep creating!

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