Our Story
We started Joggr to solve our own problem. Keeping docs up-to-date was a pain, and we knew developers had so much on their plates, that writing & maintaining documentation was the last thing they wanted to do.
When we launched, AI coding assistants were just starting to take off. We noticed something interesting... teams using Joggr were feeding our docs to their AI tools. The results were unexpected: dramatically more accurate outputs, way fewer errors, and tasks finishing twice as fast because the AI didn't need to waste time running ls and grep commands to learn the codebase & system.
That's when it clicked. The problem wasn't just about documentation for humans. It was about context or the lack of context. AI tools were struggling with the same issues developers faced:
- Too much irrelevant information creating Context Rot
- Not enough of the right stuff aka missing context (and Prompt Engineering wasn't enough)
- No way to connect code with the conversations and decisions behind it
So we pivoted.
Enter JoggrBot, your AI Context Engineer that automatically captures, connects, and maintains context from your codebase, Slack conversations, Jira tickets, and PR discussions. We then surface this knowledge as clear, human-readable docs for developers and structured prebuilt context for AI coding assistants & other AI agents.
Now teams use Joggr to give their AI tools the context they actually need: up to 80% more accurate responses. 2-3x faster task-to-completion time. 30% fewer errors. and as a bonus, their human developers can finally find answers without digging through Jira tickets from 2 years ago or having to ask a senior engineer for help.
It turns out, good documentation context isn't just nice to have, it's the difference between AI that helps and AI that hallucinates & costs a ton. At Joggr we're building the infrastructure to make sure you always have the right context, whether you're a developer trying to understand legacy code or an AI agent trying to generate a new feature.
Welcome to the context era.
