Desktop AI agents track big long-term tasks using sprints
draginol · x · 2026-08-28
Brad Wardell shares how desktop AI agents and their staff of sub-agents use sprint-style planning to keep track of very large, long-term software tasks. The quoted post is Part 4 of a series on making real software with AI assist.
Related event: Clairvoyance Uses Sprints and Task Comments for Long-Term AI Project Memory(3 posts)→
More from coding & agent
- Ex-DeepMind Eng Lead's AI Calling Agent Fo Cut Hang-Up Rate from 80% to 20-30% — julianweisser · 2026-10-16
- SPACE Open-Sources Its Sandbox Platform for Agentic Code Execution — marktenenholtz · 2026-10-16
- Cognition Launches Devin OnCall to Auto-Investigate Production Alerts — DevinAI · 2026-10-16
- Devin Oncall tops SREGym with 100% end-to-end success, auto-resolving production incidents — tianyin_xu · 2026-10-16
- Running a multi-model UI design arena: Paseo orchestrates four design drafts per model — vista8 · 2026-10-16
- Cortex A/B-tests coding-agent skills and rules by replaying developer corrections before keeping them — Samuele Giampieri · 2026-10-16