AI & Developer infrastructure

Transparent AI orchestration platform

Key Achievements

AI-assisted developmentOpen-source innovationDeveloper productivity
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"We didn't just want an AI autopilot that worked in the dark. We needed a transparent, steerable junior pair programmer. That's why AiderDesk was born."

— Vladimir Hrušovský, Software Architect & AI Lead

Client

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AiderDesk is a product of Hotovo's internal innovation labs. Initially created to scratch a developer's own itch, it has been released to the community as a fully open-source (Apache 2.0) desktop application, bridging the gap between powerful terminal AI tools and modern GUI workflows.

AiderDesk Model library case study gallery
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Case study

The need

As AI-assisted coding became an industry standard, Hotovo's engineers were quick to adopt powerful terminal-based tools like Aider. Aider was fantastic because it integrated directly with Git and allowed for structured code modifications without entirely taking over the developer's process.

However, as usage scaled, critical bottlenecks emerged. Developers found themselves bogged down by repetitive manual tasks, like selecting and syncing context files. Furthermore, the synchronous nature of the terminal tool restricted complex, asynchronous workflows. Senior developers faced a dilemma: they wanted the speed of AI assistance but refused to trade away control, visibility, and flexibility. They needed to see exactly what context the AI was using, review every line of code before it was applied, and experiment without breaking their active local branches.

Our solution

Rather than waiting for existing tools to catch up, Hotovo's R&D team decided to build a better way. What began as a simple integration connector and an IntelliJ IDEA plugin to automate file context quickly hit architectural limits.

To achieve true flexibility, we built AiderDesk from the ground up. We transformed it from a basic graphical user interface into a comprehensive, agentic orchestration layer. Built as a sleek desktop application, AiderDesk acts as a transparent wrapper around the AI. It allows developers to keep their IDEs, terminal, and Git workflow intact while providing an intelligent GUI to steer AI behavior, manage isolated code experiments, and integrate external enterprise tools.

Key results

AiderDesk evolved into a robust platform that puts the developer firmly back in the driver's seat, achieving over 1,400 stars on GitHub and enthusiastic community adoption.

  1. Isolated Git Worktrees: We introduced isolated worktrees allowing the AI to experiment, refactor, and build in parallel without ever touching the developer's main branch. Work is merged only after a visual diff review.
  2. Smart Context & Memory Engine: Powered by LanceDB vector embeddings, AiderDesk ensures the AI only loads the exact files it needs. Developers can explicitly pin documentation, drastically reducing AI hallucinations and token waste.
  3. Advanced Task & History Control: Users can seamlessly fork tasks to explore alternative implementation paths, or surgically delete specific messages from the chat history to keep the AI’s context window perfectly clean.
  4. Multi-Model & Subagent Orchestration: AiderDesk seamlessly routes tasks between 30+ LLM providers (including OpenAI, Anthropic, Gemini, and local Ollama models). Developers can also define custom "Agent Profiles" to delegate complex problems to specialized subagents.
  5. Unmatched Extensibility: Recognizing that every enterprise has unique toolchains, AiderDesk features a powerful native Extension system allowing users to deeply customize the app to their specific workflows and needs. Developers can inject custom TypeScript tools, React UI widgets, and hook into the app's lifecycle. And that's on top of the Model Context Protocol, which allows us to seamlessly connect external enterprise tools and internal APIs (like Jira or CI/CD pipelines) directly into the AI's runtime.

Tech stack

  1. React 19
  2. TypeScript
  3. Electron
  4. Tailwind CSS
  5. LanceDB (Vector Database)
  6. LLMs & Embedding models
  7. Model Context Protocol (MCP)


Team size

  1. internal Innovation Team and external contributors


For a closer look at AiderDesk and how it works, watch the video presentation by Vladimír Hrušovský.

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