Qoder - Qoder is an agentic IDE for real software development.
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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.
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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.
@rohanrecommends @onlyyixxs @britt_joiner 👍
1Page
@sandy_liusy started using it yesterday, I have used all other similar tools, this one rocks :)
@pooran_prasad_rajanna Thank you! 🙌 Really glad Qoder is already clicking for you.
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.
Mom Clock
Congrats on the launch, Qoder team!
I have a question that might interest everyone: Does Qoder store or transmit any code externally during analysis or execution?
Qoder
@justin2025 Great question - security and privacy are fundamental to us, so I appreciate you asking!
Short answer: During the preview period, we process your code locally when possible, but certain features do require cloud processing to deliver the Service.
Here's what you might want to know:
Local-first approach: Code analysis primarily happens locally in your IDE. Your code stays on your machine for most operations.
Cloud processing scenarios: When using advanced features (like Quest Mode or complex multi-file operations), we utilize cloud infrastructure and LLMs to generate outputs. This is necessary to provide the full capabilities of the Service.
Data handling commitments:
We process code snippets with personal data removed for service improvement
All data transmission is encrypted in transit and at rest
We use industry-standard security measures including vulnerability management and access controls
And your control: You will be able to manage your preferences through the "Share & Improve" mode settings within Qoder when the preview free trial version ends and upgrades to the upcoming paid pro tier.
For complete transparency, during the preview period, I encourage you to review our Privacy Policy (section 3) and Terms of Service (Section 5).
If you have specific security requirements or concerns, please reach out to contact@qoder.com - we're happy to discuss enterprise options with enhanced privacy controls.
Hope this helps! Let me know if you need any clarification.
Mom Clock
@onlyyixxs Thanks for the information provided!
Agnes AI
Love how Qoder actually “gets” your whole codebase, not just snippets—real pair programming vibes fr. That context graph idea is crazy smart, can’t wait to try it out!
Qoder
@cruise_chen Really appreciate your enthusiasm! That's exactly the problem we're solving - AI that understands your entire project architecture, not just isolated code blocks. The context graph helps Qoder think like a pro developer who knows your codebase inside out. Excited for you to experience it firsthand.
@cruise_chen Really glad you caught that! 🚀 We believe real pair programming needs full project understanding.
CrePal
@new_user___2712024690d1ab8124aa8e0 Really appreciate it! Hope Qoder can be a helpful tool in your projects.
@sandy_liusy Congrats! This is super impressive, love how Qoder maps the full project architecture instead of just generating isolated snippets! Good luck with the launch.
Qoder
@lina_huchok Thx Lina 🙌 Exactly - architecture over snippets! That's what makes all the difference.
Appreciate the support!
@lina_huchok Thank you!
Thrilled you liked that aspect — we’ll keep pushing Qoder to be even more helpful for developers.
Bugster
Big fan of the agentic approach to devtools. Qoder looks slick and purposeful, congrats on the launch 🚀
From the Bugster team (QA agent for web apps), we’ll be watching closely. Let's push real software forward
Qoder
@juan_bautista_beck Appreciate the support from the Bugster team!
You get it - agentic + real software are the winning ingredients. Looking forward to seeing how QA agents and our coding agents can work together to build better software!
@juan_bautista_beck Appreciate！🚀
anyone who vibe codes know the struggle. great that qoder is solving this issue where we can vibe code real software now!
Qoder
@pamir_sevincel2 yeah, vibe coding...and in production defines us. Qoder is designed to be the bridge, letting you maintain that creative "vibe" while our agent handles the architectural complexity and multi-file execution. So glad this resonates with you!
@onlyyixxs love it! we should also connect at some point.
@pamir_sevincel2 Thanks! We definitely felt that struggle ourselves — glad Qoder helps make vibe coding real.
@sandy_liusy the best products are built starting from a personal pain!
Qoder
👋 Hey Product Hunt community!
I'm Nathan, leading growth at Qoder. We've been heads-down building something we're incredibly excited to share with you today.
👉 Who we are & what we built:
We're a team of developers who got tired of AI coding tools that work great for demos but fall apart on real production codebases.
So we built Qoder - an agentic coding platform that actually understands the complexity of professional software engineering.
👉 Why we built this:
After countless hours watching developers struggle with "black box" AI assistants that generate code without understanding enough context, architecture, or technical debt, we knew there had to be a better way.
Real software isn't built in isolation - it evolves with history, constraints, and team knowledge that most AI tools completely miss.
👉 What makes Qoder different:
✨ Two collaboration modes that match how you actually work:
Agent Mode: Real-time pair programming when you need to stay in control
Quest Mode: Write specs with AI and delegate entire features with detailed specs to AI while you focus on the product design
👑 Context is King
Full transparency: See exactly what the AI is thinking and planning. No more black boxes - watch the AI create to-do lists, understand your architecture, and explain its decisions.
Built for real-world codebases: Qoder doesn't just generate code; Qoder understands your project's history, architecture, and technical decisions. Think of it as giving your AI the same onboarding a pro developer would get.
Memory that matters: Qoder remembers your coding patterns, project conventions, and past decisions - getting smarter with every interaction.
We'd love your support! 🙏🙏🙏
→ Give us an upvote 👍 if you believe AI should work WITH developers, not despite them!
@onlyyixxs Yep, that pretty much sums it up! 🙌 Nicely said, Nathan.
Wow, Qoder sounds like an absolute game-changer for developers! 🌟 The ability to understand not just snippets but the entire architecture is a huge leap forward in making AI more effective in real-world coding environments. I love the idea of being able to chat naturally for multi-file edits and the potential for seamless collaboration. This tool is bound to enhance productivity and make complex projects more manageable. Kudos to the team for creating such an innovative solution! Can't wait to see how it evolves! 🚀💻✨
@leo_ye Thank you so much for the support! 🙌
We’re excited to keep improving Qoder and make it even more useful for developers. 🚀
Qoder
@leo_ye Really appreciate the support! That's exactly our mission - making AI understand software the way developers do, with enhanced context engineering.
Qoder
@leo_ye It must be a wonderful programming journey