
Empower your software development with Zencoder's AI coding agents to generate clean, efficient code, thorough testing, and automated documentation. Zencoders repo grokking with complete code context and embedded AI agents help developers ship product faster.
Zencoder
I’m Andrew, the Founder of Zencoder. In my previous organization, despite having a large engineering team with hundreds of people, we could only implement a small fraction of our ideas. Imagine how much more value we would generate if we could innovate 10 times faster. We built Zencoder to help you ship better products faster. Our coding and testing agents help developers spend less time on routine and more time creating amazing things.
We support 70+ programming languages and integrate seamlessly with VS Code, JetBrains and Android Studio, offering robust support for technologies and frameworks. Our AI research team constantly benchmarks Zencoder’s AI agents to push them toward state-of-the-art performance. As of March 2025, we’re at 60%+ on SWE-Bench-Verified and ~30%+ on SWE-Bench-Multimodal(#1), delivering best-in-class coding assistance right inside your IDE.
Beyond coding, we offer 20+ DevOps integrations (making us the most integrated coding agent)—including JIRA, Sentry, GitHub, and GitLab—to help you ship faster. To help you ship better, we've built a unit testing agent for maintainable, high-quality code. With our AI Agents, speed and quality can come together; you don't have to pick one. Our unique Repo Grokking technology helps Zencoder better understand large codebases, generate, test, repair, and refine code, making your workflow smoother than ever. We’d love your feedback—what do you love, what needs tweaking, and which features do you want to see next? Thanks for stopping by.
Do join our community on Slack and Discord
Zencoder
@andrewsthoughts @masump Hey Masum, that's literally what we do. We have a robust technology (Agentic Pipeline) that will go through several steps. So, instead of just spitting out the first things that come to LLM's "mind," we run a series of steps.
We start with code validation and testing
Our pipeline checks generated code against your codebase, not just general syntax rules. Before generating any code, we run syntax and code correction, check imports and dependencies, and validate within your project's specifics.
Then, we'll do an Automated Repair Loop.
When issues are detected, agents don't give up - they initiate repair cycles. The pipeline diagnoses problems, applies fixes, and re-validates until the code meets quality thresholds - bringing you to the production-level code quality.
And it powers all our agents through our Unified Agent Infra
So, essentially the same validation pipeline powers all our specialized agents. Whether generating new files, or making changes to existing ones, or making unit tests, each agent benefits from the context of your repository and continuous improvement cycles.
Thanks for your comment. If you are interested in joining our communities, I'd like to invite you to join our community on Slack and Discord.
Streos
@andrewsthoughts @masump @vibor_cipan The deep IDE integrations, strong AI benchmarks, and Repo Grokking tech set it apart. Congrats on the launch
Zencoder
@andrewsthoughts @masump @dineshan_sithamparanathan Thank you — your comments are spot on! Deep IDE integrations, 60%+ SWE-Bench scores, and Repo Grokking make Zencoder a standout for developers. We’re happy with the early response and value your support.
Stay tuned for more at our 6 PM CET webinar! Feel free to join if you are around - we'll be demoing all these things and more: https://zencoder.ai/webinars/maximize-productivity-with-zencoder
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@andrewsthoughts Love it
Zencoder
@andrewsthoughts @pooran_prasad_rajanna And we love your support and comment.
Wow! This looks amazing! Love that you offer a free plan—it’s a great way to explore the product with zero risk. Excited to test it out! 🚀🔥