Product
One agent. One system.
Three jobs.
Savio connects the repos, docs, tickets, and dependencies around a team-owned system and turns that evidence into better PR reviews, clearer answers, and fewer surprises.
PR reviews with system context
Savio reviews pull requests with the code, docs, dependencies, and team knowledge around them — not just the diff.
- Catches cross-file logic issues that line-by-line review misses
- Checks new code against existing contracts and API surfaces
- Cites evidence from docs, tickets, and previous decisions
- Learns from team feedback — confirm or dispute any finding
- Reduces low-signal noise so real issues stand out
PaymentService.processRefund() response shape no longer matches the contract consumed by OrderService.
Retry count changed from 3→5 but the timeout remains at 30s. This may exceed the SLA documented in the Notion runbook.
The refund flow diagram in docs/architecture.md still shows the v1 endpoint.
A living model of the system
Savio keeps an evidence-backed picture of how a team-owned system works, what it depends on, and what is still unclear.
- Connects GitHub repos, Jira, Notion, Confluence, and web sources
- Builds structured sections: architecture, data model, contracts, deployment
- Tracks confidence and evidence freshness for every claim
- Surfaces gaps — things the model doesn't yet know
- Ask questions and get answers grounded in evidence
Plan changes with less guesswork
Savio helps teams see what might break, what changed upstream, and where code, docs, or plans no longer agree.
- Map upstream and downstream dependencies with contracts
- Detect when a change might break consumers
- Compare what docs say vs. what code does
- Surface stale assumptions before they become incidents
- Reason about blast radius before merging
Impact analysis
PaymentService → v2 contract migration
Signals
What needs attention
Savio continuously reconciles evidence and surfaces issues before they become incidents.
Contradictions
When new evidence conflicts with existing claims — code says one thing, docs say another.
Docs say auth uses JWT, but code implements session-based tokens with Redis.
Gaps
Sections with low confidence or missing evidence. Things the model doesn't know yet.
No evidence found for how payment webhook errors are handled or retried.
Staleness
Evidence that hasn't been verified recently. Runbooks, docs, and claims that may have drifted.
Deployment runbook last verified 4 months ago. 3 infrastructure changes since.
Spec drift
When what the spec says and what the code does have diverged over time.
API spec defines 'status' as enum [active, inactive] but code also handles 'suspended'.
Integrations
Fits the way your team already works
GitHub
Code, pull requests, issues, and repository docs. Savio reads diffs, comments, and commit history.
Jira
Tickets, epics, and workflow states. Link planned work to system understanding.
Notion
Wikis, runbooks, and team documentation. Reconcile what's written with what the code does.
Confluence
Enterprise documentation and knowledge bases. Bring institutional knowledge into the model.
CLI
Run Savio from your terminal. Trigger syncs, ask questions, and manage systems locally.
MCP
Model Context Protocol support. Use Savio as a tool in your existing AI workflows.
Start with one system.
Connect your first repo, run a sync, and get your first PR review with real system context — in under five minutes.