Загрузка видео...

Не удалось загрузить видео

На главную

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...

139,897 просмотров • 22 часов назад •via X (Twitter)

Комментарии: 32

Фото профиля Ivana
Ivana19 часов назад

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.

Фото профиля Shushant Lakhyani
Shushant Lakhyani22 часов назад

Sign up first using this link at before you download. You will get 600 Credits: 300 from the trial and 300 from my code.

Фото профиля Ryan Carter
Ryan Carter21 часов назад

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

Фото профиля Dose
Dose20 часов назад

@_tiv2 AI agent on your computer bridge used tool verified

Фото профиля marygold💲 💱
marygold💲 💱19 часов назад

That’s the big difference with Qoder.

Фото профиля HiddenGoldFi
HiddenGoldFi20 часов назад

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

Фото профиля Arfaa Bangash 🇵🇰
Arfaa Bangash 🇵🇰20 часов назад

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

Фото профиля BABar Azam Fan
BABar Azam Fan20 часов назад

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

Фото профиля Chandan Kumar
Chandan Kumar21 часов назад

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

Фото профиля 🇫 🇦 🇷 🇭 🇦 🇳
🇫 🇦 🇷 🇭 🇦 🇳20 часов назад

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

Фото профиля Shifa Mariyam
Shifa Mariyam19 часов назад

Qoder combines autonomy with user control.

Фото профиля 🌻
🌻21 часов назад

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

Фото профиля Parul Gautam
Parul Gautam21 часов назад

will check this out

Фото профиля Doremon AI
Doremon AI21 часов назад

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

Фото профиля MZ Ali 387
MZ Ali 38720 часов назад

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

Фото профиля BLOCKCHAIN ⛓️
BLOCKCHAIN ⛓️21 часов назад

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

Фото профиля AHSAN BILAL
AHSAN BILAL21 часов назад

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

Фото профиля Businessaholic
Businessaholic22 часов назад

this is amazing

Фото профиля ETHERSON
ETHERSON21 часов назад

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

Фото профиля Cikocisco
Cikocisco19 часов назад

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?

Фото профиля StealthAsset
StealthAsset18 часов назад

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

Фото профиля Ali Malik
Ali Malik20 часов назад

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

Фото профиля Iqra Abid
Iqra Abid19 часов назад

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

Фото профиля SULTAN KINGBTC💸
SULTAN KINGBTC💸21 часов назад

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

Фото профиля Jyoti
Jyoti22 часов назад

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

Фото профиля Queen Isabell
Queen Isabell21 часов назад

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

Фото профиля Shushant Lakhyani
Shushant Lakhyani21 часов назад

Check best productivity resources here:

Фото профиля 🇫 🇦 🇷 🇭 🇦 🇳
🇫 🇦 🇷 🇭 🇦 🇳20 часов назад

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

Фото профиля Rose Carter
Rose Carter21 часов назад

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

Фото профиля EchoVerse AI
EchoVerse AI20 часов назад

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

Фото профиля Ali❤️
Ali❤️20 часов назад

@_tiv2 Use before task verification tools and result plan made

Фото профиля EntrepBuilder
EntrepBuilder22 часов назад

very informative

Похожие видео

I wanted to see if an AI agent could take one goal all the way to a finished artifact. I gave Qoder a weekly competitor-tracking task. I started on the task screen, selected my workspace, left the model on Auto, set permissions, and sent the outcome instead of a step-by-step prompt. Qoder read the context and began planning. Rather than one generic research pass, it ran subagents for Cursor, Windsurf and GitHub Copilot in parallel. I watched them check public updates and bring their findings back into the main task. The work was visible: planning, tool calls, terminal commands, file changes and progress updates. It did not feel like another chat answer. It felt like watching a task move through an actual workflow. The final artifact was competitor-weekly-2026-09-22.md It summarized the week's highlights and included sources and caveats, including where public evidence was limited. That made the output reviewable: I could check the sources, question the conclusions, and decide what to do next. That is the part I care about. Qoder is a desktop AI agent you can hand an outcome as a task. It reads context, plans, uses tools, executes and verifies. You can watch, adjust, pause or take over. One goal → planning → parallel research → terminal work → verified Markdown report. In the model picker, Qwen3.8-Flash was showing 0.0x Credits through September 30, so that option was available at zero cost during the offer. If you want to try it, Qoder has a 14-day Pro trial with 300 Credits. Sign up first using this link at before you download. That adds another 300 Credits, for 600 total.

Nelly;

159,865 просмотров • 5 дней назад

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

377,539 просмотров • 6 месяцев назад