20 production AI agent lessons from Atlassian Team Europe, from context graphs to agent memory
MaryamMiradi · x · 2026-10-15
After 3 days digging into production AI agents, the author distills 20 practical engineering lessons from Atlassian Team Europe. Key points:
Context graphs & agent memory
- Agents have a context problem; connect organizational knowledge across tools
- Prepare context before agents ask: precompute relationships, reuse relevant context
- Smaller context can be better — compact vectors, hierarchical retrieval, semantic matching
- Retain agent sessions as reusable memory; store code-review feedback for future tasks
Multi-agent workflows
- Invisible agents create invisible work: track local/cloud agent sessions, ownership and progress
Also covers FDE patterns, PR-to-video, and Atlassian's Teamwork Graph.
Related event: Atlassian Team Europe Shares 20 Production Lessons for AI Agents(2 posts)→
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