Kodingo is a persistent project memory engine for software teams. It preserves code, architectural decisions, and the why behind them across developers, engineers, and project managers — even as teams change. Kodingo helps new contributors understand the codebase faster, reduces onboarding time, and ensures critical knowledge is never lost.
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Do you use Kodingo?
Maker Comment
Maker
📌
👋 Hey Product Hunt, I’m Adekunle, founder of Kodingo.
Kodingo is about preserving project knowledge, not just code or AI context. As teams evolve, critical decisions, trade-offs, and the why behind the code often get lost. We built Kodingo to act as a persistent project memory across developers, engineers, and project managers, living inside the IDEs teams already use.
It helps new contributors understand the codebase faster, reduces onboarding time, and prevents knowledge loss as teams change.
Kodingo is currently in alpha, and access is limited to a small group of testers. If this resonates, you can sign up today and we’ll grant early access as slots open.
We’d love your feedback:
Where does project knowledge break down most on your teams?
What should never be forgotten in a long-running codebase?
Happy to answer questions and learn from the community 🙌
Using Kodingo feels like having an AI that actually understands my project, not just my code. It helps me move faster, keep context, and avoid rethinking things I’ve already solved. It’s subtle, smart, and genuinely useful.
What needs improvement
One improvement would be faster response times and clearer feedback on what the AI is using as context, so it’s easier to trust and guide its suggestions.
vs Alternatives
I chose Kodingo because it understands the full context of my codebase and workflows, which saves time and reduces friction when building and collaborating on complex projects.
How quickly does it help new engineers onboard?
Onboarding is fast and seamless. New engineers can get productive quickly with minimal hand-holding, and bringing additional contributors into an existing project feels effortless.
Are memory-aware PR reviews actually catching architectural issues?
Yes—memory-aware PR reviews can catch architectural issues, and in our case they’ve reduced the need for back-and-forth explanations while consistently improving review quality and outcomes
How good is Slack or Teams command reliability?
Very good. Slack commands have been reliable in day-to-day use, responding consistently and integrating smoothly into the workflow without interruptions.