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Remote coding agents are now general purpose productivity tools Here I'm using the Todoist MCP server with Replit ⠕ Agent to clean up the reference section of my task list I'm also using it daily to add labels and keep things organized As it would turn out, coding agents...

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matt palmer

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35,917 просмотров • 5 месяцев назад •via X (Twitter)

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I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
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13,917 просмотров • 5 месяцев назад

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Totally settling the "MCP vs CLI for coding agents" debate with this humongous blog post. I benchmarked screen, tmux, and a bespoke custom CLI and MCP tool against 3 task that require the agent to steer TUIs (lldb, python repl, opencode)

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Matt Pocock

59,308 просмотров • 2 месяцев назад

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Hell froze over: announcing FormKit for React. Secretly framework-agnostic since inception, today we’re open sourcing the most popular Vue form library…for React. Why is this a big deal? 1. Forms are still hard. We (the creators of FormKit) thought form libraries were no longer necessary, given the trajectory of coding agents. It turns out we were wrong, and we learned this the hard way. Need repeating conditional fields nested 3 layers deep inside a dynamic component, with accessibility, validation, internationalization, and backend error placement? Turns out coding agents aren’t great at that. It’s table stakes for FormKit. 2. Single component. This matters more than you would think, but FormKit doesn’t ship lots of different components each with its own props. Instead, it has a single one: and unified props. This was done to provide a better DX to human engineers. It makes it easy to spot when a given component was part of the form’s data structure vs a presentational component. It turns out this matters even more to coding agents than humans. No matter where your coding agent is, whenever it sees “FormKit” it immediately knows “oh, that’s part of the form’s data”. 3. No plumbing. FormKit doesn’t require any manual data collection, event listening, or state tracking. It does all this for you on a heavily tested, framework agnostic, self-assembling graph. The only code your agent needs to write is declarative templates and submission handlers that respond to the state. 4. Dense colocation. FormKit’s syntax happens to be ideal for coding agents; nearly everything you need to know about a given input is *on* the input: Colocation dramatically improves the efficacy of coding agents. 5. DOM. FormKit, unlike most form frameworks in React, renders the actual DOM. This also increases colocation and best practices, meaning your coding agent is far more likely to produce consistent and high-quality output that looks and acts the way its supposed to. 6. Schema. FormKit’s own inputs are not written using Vue or React — instead, FormKit has its own render schema — think of it like an AST for the DOM — and you can modify it on the fly. It’s not very human-friendly to write, but it turns out most models are already pretty well trained on FormKit’s schema. Want your inputs to look a bit different on one form than another? No problem, your coding agent can easily make those changes *without* modifying the JSX structure at all. Oh, and any inputs you create for Vue work with React and vice versa. 7. Plugins. FormKit leans into the unstructured tree graph hard. The graph doesn’t just collect data, it also passes down configuration and plugins. Want one form to work a bit differently than another one? No problem — just add a plugin to the top of that form or group and its children will all receive that feature. You can even mass assign props and configuration this way. Of course, FormKit has been solving these exact issues for a long time, but it wasn’t until we started using it on our own projects with coding agents that we realized what a huge advantage it is. With so many people using coding agents with React, it made sense to unveil FormKit for what it has always been — a completely framework-agnostic form framework that happens to unlock your coding agents. ➡️

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11,549 просмотров • 2 месяцев назад

Michele Catasta (Michele Catasta) President of Replit (Replit ⠕) says "AGI for vibe-coding is coming earlier than 2028": "I would expect by the end of 2026, a lot of the core functionalities that models and agents have to have, in order to become very good vibe coding workhorses, will be there". "Literally the bottleneck would become grit, determination, if you want to take the time and, you know, invest a bit of money to make it happen". "No vibe coding tool today is absolutely perfect... but the amount of creativity that they unleash is second to none."
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Michele Catasta (Michele Catasta) President of Replit (Replit ⠕) says "AGI for vibe-coding is coming earlier than 2028": "I would expect by the end of 2026, a lot of the core functionalities that models and agents have to have, in order to become very good vibe coding workhorses, will be there". "Literally the bottleneck would become grit, determination, if you want to take the time and, you know, invest a bit of money to make it happen". "No vibe coding tool today is absolutely perfect... but the amount of creativity that they unleash is second to none."

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41,912 просмотров • 2 месяцев назад

Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft. 34-minutes. free. By Microsoft team Opus 4.7 + 1,400+ pre-built MCP tools plug Claude into agent → give it tools → ship to production worth more than any $500 vibe-coding course. Bookmark and watch it today.
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Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft. 34-minutes. free. By Microsoft team Opus 4.7 + 1,400+ pre-built MCP tools plug Claude into agent → give it tools → ship to production worth more than any $500 vibe-coding course. Bookmark and watch it today.

Rahul

43,988 просмотров • 11 дней назад

How Mitchell Hashimoto (Mitchell Hashimoto, creator of Ghostty, founder of HashiCorp) got good at using AI tools for coding + work: "I was forcing myself to figure out how to prompt the agent to produce the same quality result as mine. Even though I was working much slower because it was more than double the work."
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How Mitchell Hashimoto (Mitchell Hashimoto, creator of Ghostty, founder of HashiCorp) got good at using AI tools for coding + work: "I was forcing myself to figure out how to prompt the agent to produce the same quality result as mine. Even though I was working much slower because it was more than double the work."

The Pragmatic Engineer

35,060 просмотров • 2 месяцев назад

I'm building an army of tools to automate my life. That's the good part about vibe-coding: you can automate anything you want in a fraction of the time it would have taken a few years ago. There is an ocean of vibe-coding tools, but here is one that does something different: CREAO is an extremely simple-to-use platform. Check them out here:
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I'm building an army of tools to automate my life. That's the good part about vibe-coding: you can automate anything you want in a fraction of the time it would have taken a few years ago. There is an ocean of vibe-coding tools, but here is one that does something different: CREAO is an extremely simple-to-use platform. Check them out here:

Santiago

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