Effective workflows
Find the workflows that keep shipping. Storybook first for frontend work, Skill X for migrations, MCP Y for low-churn changes.
Capture what works across AI coding sessions and turn it into shared team knowledge.
Code is no longer the only output. Reflex observes the session mechanics that explain why a run succeeded, failed, got steered, or became expensive.
Disable capture for sensitive sessions without changing the rest of your team setup. Reflex is built for shared learning, not surveillance.
Reflex looks for patterns that can become skills, agents.md guidance, model defaults, harnesses, and review checklists.
Find the workflows that keep shipping. Storybook first for frontend work, Skill X for migrations, MCP Y for low-churn changes.
See where agents burn tokens, repeat dead ends, ignore existing patterns, or keep using skills that are not helping.
Surface the places where agents and engineers repeatedly miss permissions, validation, schemas, or release steps.
Session pattern accepted by reviewers
Tool sequence reused with low churn
Private run excluded from team memory
Reflex builds on Agent Relay's event stream, search, and team messaging layer. The result is a living memory of how your agents actually get work done.
Plans should come from learned truths in your own repository, not generic internet advice or a teammate's memory.
Engineers typically:
Real-time guidance calls out common failure modes while an engineer or agent is still in the session.
Engineers usually forget to update permissions when modifying this service.
This approach caused five reverted PRs.
The last three similar changes used a different workflow.
Reflex helps engineering leaders see whether agent usage is compounding into standards, savings, and faster onboarding.