Hand a Trakkar task to an AI coding agent like Claude Code or Cursor. It reads the task, does the work, opens a pull request, and comments back, the same way you'd delegate to a teammate.
An AI agent is an AI assistant you connect to your Trakkar workspace and treat like a team member. You delegate a task to it, just like you would to a person. The agent reads the task and its comments, looks up related notes in your Knowledge Base, does the work in your codebase, and opens a pull request for your team to review. Every step is recorded in a session thread, so you always know what the agent saw and what it changed.
Open a task and choose Delegate to an AI agent.
The agent reads the task, comments, and linked notes.
It does the work and opens a pull request automatically.
It comments back with a summary and moves the task forward.
You review the pull request and merge when ready.
An AI agent in Trakkar is powerful but never a black box. You decide which agents exist, what models they use, and how much they can spend, and you review every change before it ships.
Every agent run is a session thread showing what it read, what it changed, tokens used, and cost.
Set a token and cost budget per agent so a run can never quietly grow into a large bill.
The agent opens a pull request. Nothing reaches your main branch until a human merges it.
Connect Claude Code or Cursor today. Pick the model, from fast and cheap to the most capable.
Assign work to an agent right from the task view. No copy-paste, no switching tools.
Watch the agent work in real time: summary, status, token usage, and the PR it opened.
The agent ships its work as a reviewable pull request, so your normal review process stays in place.
Create shared agents for the whole team, or personal agents just for your own tasks.
Only people with the right role can create agents or delegate work, so access stays tidy.
Trakkar doesn't lock you into one AI vendor. Connect the coding agents your team already trusts and switch models whenever you want.
Anthropic's coding agent, with a choice of Opus, Sonnet, or Haiku depending on how deep you need to go.
Run delegated work through Cursor with models like Composer, GPT-5, Claude, Gemini, or Grok.
The runner is open and model-agnostic, so new agents and models can be added over time.