Joggr

Joggr is building an AI-first documentation assistant that keeps developer docs up to date, automatically generating, updating, and syncing Markdown docs every time your code changes. But early on, Zac and the team faced a challenge:

"Everything in the LLM ecosystem is Python-first. We're a TypeScript shop. We needed a framework that spoke our language and helped us offload memory and orchestration."

On top of that, they were managing a tangle of custom tooling built on top of Vercel's AI libraries. Debugging flows and understanding what the agents were doing was painful and hard to scale.

Zac discovered VoltAgent while searching for a flexible, TypeScript-native AI agent framework and paired it with VoltOps, VoltAgent's visual observability console.

• Build agents that generate and maintain dev docs in clean, composable flows
• Offload memory management with VoltAgent's built-in memory modules
• Gain visibility into every step of their Supervisor agent architecture using VoltOps.

With this stack, the Joggr team was able to:

"Without Volt, it would almost be impossible to understand what the hell is going on and what the agents are doing."

By switching to VoltAgent and VoltOps, Joggr streamlined their architecture, ditched custom glue code, and unlocked better visibility into how their agents operate.

"Every time we need help, the founders are there. The responsiveness is unreal."

With a fast-moving product and an AI-first mindset, Joggr now ships with full confidence. No black boxes, no guesswork. Just dev-friendly documentation, powered by agents they can see, debug, and trust.