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.
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.