Loading video...

Video Failed to Load

Go Home

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 views • 1 day ago •via X (Twitter)

32 Comments

Ivana's profile picture
Ivana1 day ago

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.

Shushant Lakhyani's profile picture
Shushant Lakhyani1 day ago

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

Ryan Carter's profile picture
Ryan Carter1 day ago

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

Dose's profile picture
Dose1 day ago

@_tiv2 AI agent on your computer bridge used tool verified

marygold💲 💱's profile picture
marygold💲 💱1 day ago

That’s the big difference with Qoder.

HiddenGoldFi's profile picture
HiddenGoldFi1 day ago

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

Arfaa Bangash 🇵🇰's profile picture
Arfaa Bangash 🇵🇰1 day ago

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

BABar Azam Fan's profile picture
BABar Azam Fan1 day ago

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

Chandan Kumar's profile picture
Chandan Kumar1 day ago

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

🇫 🇦 🇷 🇭 🇦 🇳's profile picture
🇫 🇦 🇷 🇭 🇦 🇳1 day ago

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

Shifa Mariyam's profile picture
Shifa Mariyam1 day ago

Qoder combines autonomy with user control.

🌻's profile picture
🌻1 day ago

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

Parul Gautam's profile picture
Parul Gautam1 day ago

will check this out

Doremon AI's profile picture
Doremon AI1 day ago

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

MZ Ali 387's profile picture
MZ Ali 3871 day ago

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

BLOCKCHAIN ⛓️'s profile picture
BLOCKCHAIN ⛓️1 day ago

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

AHSAN BILAL's profile picture
AHSAN BILAL1 day ago

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

Businessaholic's profile picture
Businessaholic1 day ago

this is amazing

ETHERSON's profile picture
ETHERSON1 day ago

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

Cikocisco's profile picture
Cikocisco1 day ago

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?

StealthAsset's profile picture
StealthAsset1 day ago

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

Ali Malik's profile picture
Ali Malik1 day ago

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

Iqra Abid's profile picture
Iqra Abid1 day ago

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

SULTAN KINGBTC💸's profile picture
SULTAN KINGBTC💸1 day ago

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

Jyoti's profile picture
Jyoti1 day ago

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

Queen Isabell's profile picture
Queen Isabell1 day ago

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

Shushant Lakhyani's profile picture
Shushant Lakhyani1 day ago

Check best productivity resources here:

🇫 🇦 🇷 🇭 🇦 🇳's profile picture
🇫 🇦 🇷 🇭 🇦 🇳1 day ago

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

Rose Carter's profile picture
Rose Carter1 day ago

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

EchoVerse AI's profile picture
EchoVerse AI1 day ago

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

Ali❤️'s profile picture
Ali❤️1 day ago

@_tiv2 Use before task verification tools and result plan made

EntrepBuilder's profile picture
EntrepBuilder1 day ago

very informative

Related Videos

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 views • 6 days ago

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

377,673 views • 6 months ago