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I gave Qoder a task instead of a prompt. And it actually did the work. It read the context, made a plan, used the tools it needed, executed the task, and verified the result before finishing. That’s the big difference with Qoder. It feels less like chatting with AI... show more
139,897 просмотров • 22 часов назад •via X (Twitter)
Комментарии: 32

Tried the same “fix this and verify” pattern last week. It does plan and execute, but the verification step still needs a human eye on the edge cases.

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The verification step is a big deal. Getting the task done is one thing, checking the result is another.

@_tiv2 AI agent on your computer bridge used tool verified

That’s the big difference with Qoder.

This is the shift - from prompt to actual task execution. Planning, tool use, verification loop is what makes Qoder an agent not a chatbot.

@_7ien This is exactly what I needed, an agent that actually finishes the task, not just chats. Trying Qoder now.

Not magic. Just a tighter loop: context, plan, tools, verify.

Task > prompt is the easy half. The hard half is defining what "verified" means before it runs — otherwise you just automated a longer prompt.

This is how people will use AI on a computer in 12 months. Task in, result out. .

Qoder combines autonomy with user control.

@_7ien It read the context, made a plan, used the tools - Qoder is actually autonomous!

will check this out

This is exactly what we needed Not just chatting but actually doing the work end-to-end. Qoder sounds like a real agent, not a chatbot

@_7ien feels less like chatting with AI and more like handing a task to an AI agent

Having an AI handle tool selection independently reduces cognitive load for the developer."

Plan, execute, verify is a much better workflow for complex tasks.

this is amazing

The ability to pause and take over keeps the workflow from feeling like a black box.

Qoder actually finished without you holding its hand? What's the catch — did it ever come back with something you had to scrap and rebuild anyway?

Qoder feels more useful when the focus shifts from prompts to actual tasks. The planning and verification part really stands out.

@_tiv2 That’s big chain now a days made you verified task excited finished before results

130K testnet users is a decent base if even 10% come to mainnet.

@_7ien "The boundaries between IDEs, AI assistants, and autonomous agents are blurring completely."

This is a great step toward smarter AI agents that toward smarter AI agents that can plan, execute, and verify tasks with minimal effort.

The task-first approach makes this feel much more practical than a normal AI chat.

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If it made a plan I could read before it started editing, I’d trust it more.

I like the idea of giving the agent an outcome instead of micromanaging every step.

Already using AI for coding daily, this looks like the upgrade I needed. Thanks for the link!

@_tiv2 Use before task verification tools and result plan made

very informative
