Why does this exist?
Trace code and dependencies back to the pull requests, incidents, documents, and decisions that introduced them.
ExploreHelix connects code, decisions, incidents, ownership, and AI-generated changes into a living Engineering Graph—so teams understand why software exists, what a change affects, and whether it is safe to ship.
AI can generate software faster
than teams can understand it.
Trace code and dependencies back to the pull requests, incidents, documents, and decisions that introduced them.
ExploreSee the services, APIs, tests, owners, and business systems connected to a change before it reaches production.
ExploreReview facts, inferences, risk signals, historical context, and evidence paths in one place.
ExploreIt is years of decisions, dependencies, incidents, reviews, people, and production outcomes.
Helix continuously connects those signals into a living Engineering Graph.
Answers are only useful when you can verify them. Helix shows its work—down to the pull request, incident, decision, service, or metric.
Redis was introduced through PR #284 after Incident #52 caused database saturation during login spikes.
RFC-18 proposed moving session reads from Postgres into Redis. Authentication latency dropped from 230ms to 31ms after deployment.
Redis is currently used by Authentication, Rate Limiting, and Checkout.
Your architecture, review habits, deployment patterns, ownership, incidents, and successful practices make your team unique.
Helix learns those patterns from your engineering history—not generic internet advice.
Add integration coverage and request Platform review.
RISK · BLAST RADIUS · INCIDENTS · OWNERSHIP · TESTSEngineering context inside every pull request.
Explore Helix ReviewWHY DOES THIS EXIST? · WHAT DEPENDS ON THIS API?Ask questions about your system in plain English.
Explore Helix AskPR #284 → REDIS → AUTHENTICATIONExplore how code, decisions, people, and outcomes connect.
Explore Helix Graph{ "owners": ["platform-team"], "risk": "medium" }Give coding agents and internal tools trusted engineering context.
Explore Helix APIStart with the source of engineering change. Expand the graph as Helix adds more trusted signals.
Every important claim links back to its source.
Understand relationships, not isolated artifacts.
Know the system before asking it to change.
Clearly separate what is known from what is learned.
Confidence is visible, inspectable, and grounded.
We are working with engineering teams using AI to ship real production software.