ProjectPulse Gives AI Coding Agents Project-Specific Memory to Enforce Team Decisions

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AI coding agents often repeat outdated or project-inappropriate suggestions when starting fresh sessions, because they lack access to prior team decisions. ProjectPulse, built on a memory engine called Hindsight, addresses this by extracting engineering decisions from coding sessions and storing them in a per-project memory bank after human review and approval. When a new agent session begins, only relevant approved decisions are recalled and provided as context, keeping the agent aligned with current project constraints. Team members can approve, edit, reject, or supersede stored decisions to ensure the memory bank stays accurate and conflict-free. The system is designed to shift the goal from making models remember everything to ensuring they follow decisions the team has actually sanctioned.

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