Launched this week
Qoder transforms how AI understands real software. Beyond snippets, it grasps your entire architecture—dependencies, patterns, history. Chat naturally for multi-file edits or delegate tasks to AI. From invisible complexity to transparent collaboration.
AssemblyAI — Speech-to-Text API with diarization
Speech-to-Text API with diarization
Promoted
Qoder
Hey Product Hunt! 👋
Current AI coding tools generate impressive demos but somehow struggle with real software.
We knew there had to be a way.
Real software isn't just text; it's a living system of dependencies, historical decisions, and team conventions. An Agent that can't see this structure can't be a true partner.
So we built Qoder differently from the ground up:
● It sees the whole picture:
Qoder combines vector search with a local code graph to map your project's true architecture. With context engineering enhanced for codebases, small or large, it understands how everything connects, just like a professional developer would.
● It pairs with you in real-time:
Direct Qoder through natural conversation - it executes across multiple files, shows you every change, and waits for your review. This iterative flow keeps you in control while accelerating execution. True pair programming where you lead, Qoder builds.
● You focus on the "what", it handles the "how":
With Quest Mode, you can collaborate with the agent on writing specs in natural language, then delegate to the agent to execute, autonomously. Qoder plans, executes, and delivers verified code while you focus on the next big problem.
This all comes together in an IDE designed for real software development.
We're launching with 2,000 free credits during preview (first-come, first-served, then waitlist!) and would be thrilled to get your feedback on how we can help developers "Think Deeper, Build Better" in the AI era!
@sandy_liusy Many congrats on the launch! :)
Question for the maker team... in practice, how well does Qoder’s memory adapt to long-term projects? AI coding tools usually ‘forget’ context too quickly, hence I am curious.
Qoder
@sandy_liusy @rohanrecommends hey Rohan, excellent question!
This is actually one of our core tech edge.
Qoder's long-term memory system works across three dimensions:
Personal Preferences: for example. "Always generate unit tests after implementation" - it learns your coding style and workflow habits
Historical Experience: Remembers solutions to past problems, build configurations, and debugging approaches - no more repeating the same fixes
Engineering Knowledge: Builds a persistent understanding of your codebase architecture, tech stack, and design patterns
Our memory system self-optimizes through continuous evaluation - it keeps what's useful, forgets what's not, and resolves conflicts automatically.
In practice, developers tell us Qoder gets noticeably "smarter" about their projects after just a few sessions. It stops asking the same questions and starts making contextually appropriate suggestions.
The "the more you use it, the better it understands you“ effect is real! 💪
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@sandy_liusy @rohanrecommends @onlyyixxs this is awesome to hear - i agree this is something that a lot of tools miss.
Qoder
@rohanrecommends @onlyyixxs @britt_joiner 👍
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@sandy_liusy started using it yesterday, I have used all other similar tools, this one rocks :)
Qoder
@pooran_prasad_rajanna Thank you! 🙌 Really glad Qoder is already clicking for you.
@sandy_liusy @onlyyixxs
After testing Ali's Qoder, it exceeded my expectations! Here are four things I found amazing and four things I didn't:
1. There are task implementation plans and automated management, without imposing rules. This is very suitable for vibe coding
2. Clearly tell you the Todo list and which files are modified, suitable for small module programming
3. The instructions were followed quite well, unexpectedly well!
4. Chat/agent mode, MCP, context management, all of these are supported! Very good, the trial version can be used!
Some shortcomings:
1. The interaction needs to be improved. For example, you cannot "add to chat" when selecting text in the terminal area. This is supported by both trae and cursor. I hope to add this feature as soon as possible. The code editor has this function.
2. It seems that you cannot re-execute a specific request. If you are not satisfied with a certain execution, you can only "undo the changes"
3. Unable to choose a model [Of course, sometimes not giving users a choice is also a manifestation of confidence, provided that the model is strong enough to save users the cost of choosing.]
4. Credits are depleted quite quickly. I've already spent 319/2000 after just asking 5 questions. If I use it for work, I'm afraid it will be gone in 2 days. [Looking forward to optimizing credits consumption]
https://x.com/DongNanNo1/status/1959253474924716238
Qoder
@cyrusandrew Wow, THANK YOU for such thorough and constructive feedback! 🙏 🙏🙏 This is incredibly valuable for us.
Really glad you found value in Qoder.
On your improvement points - you're absolutely right:
Terminal text selection → chat: This is on our immediate roadmap! We know this friction point and it's being prioritized. Coming very soon.
Re-executing specific requests: Great catch. We're exploring a "retry with modifications" feature that would let you iterate on specific steps without starting over.
Model selection: We auto-select optimal models for each task, but we hear you - giving power users control is important. Consider adding this to our backlog.
Credit consumption: This is critical feedback. We're actively optimizing token usage and will be introducing more efficient modes + clearer usage indicators. Nobody should worry about credits running out in 2 days!
Your detailed testing helps us build better. Would love to keep this conversation going - feel free to DM me directly for extended preview credits while we work on optimization.
Qoder
@cyrusandrew @onlyyixxs
With Qoder, developers get:
⚡ Context-aware coding
⚡ Multi-agent debugging & testing
⚡ Production-ready scalability
⚡ Seamless integration into existing workflows
Visit: https://qoder.com
Qoder
Really appreciate you taking the time to test so deeply 🚀 Your notes on interaction, re-execution, and credits are super valuable — we’re on it!
what llm model it uses?
(eg. qwen)
Qoder
@sayyidalijufri hey, we use the best and the latest llms that are auto-selected based on your task. You could find the info on our product landing page: https://qoder.com/
@onlyyixxs downloaded it and already tried
good ai agent👍
Qoder
@onlyyixxs @sayyidalijufri Welcome to share your experience.