Give your system
an agent.
Savio truly understands your system.
It reviews PRs, detects system-wide issues, and sharpens your roadmap.
Breaking contract change
The response shape in PaymentService.processRefund() no longer matches the contract consumed by OrderService. This will break downstream callers.
src/services/payment/refund.ts:42
Missing error propagation
The new retry logic swallows TransactionTimeout errors that the billing dashboard depends on for alerting.
src/services/payment/retry.ts:18
Documentation drift
The Notion runbook for payment refunds still references the v1 endpoint. Consider updating it alongside this PR.
docs/runbooks/refunds.md
Why now
AI sped up code generation.
It did not make systems easier to understand.
Code is shipping faster than ever. AI assistants can write features in minutes that used to take days. But more code doesn't mean more clarity.
System knowledge still lives in a handful of people's heads, scattered across stale docs, half-remembered Slack threads, and tribal lore. When those people are busy, on vacation, or gone, the system becomes a black box.
Pull requests get approved by reviewers who don't have the full picture. Docs drift. Dependencies shift. And the gap between what's true in code and what the team believes keeps growing.
72%
of engineers say system knowledge is in someone's head
4.2h
average time lost per week to context-switching during review
38%
of production incidents trace back to incomplete understanding
One platform, three jobs
Start with PR review. Keep the system context.
PR reviews with system context
Savio reviews pull requests with the code, docs, dependencies, and team knowledge around them — not just the diff. Catch logic and cross-file issues earlier. Reduce low-signal review churn.
- Cross-file impact analysis
- Contract and dependency checking
- Evidence-cited findings
- Learns from team feedback
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. No more relying on the one engineer who 'just knows.'
- Connects code, docs, tickets, and wikis
- Tracks confidence and freshness
- Surfaces gaps and contradictions
- Answers questions with citations
Plan changes with less guesswork
Savio helps teams see what might break, what changed upstream, and where code, docs, or plans no longer agree. Reduce surprise during migrations and risky releases.
- Dependency and blast radius awareness
- Contradiction detection
- Stale assumption surfacing
- Pre-merge risk signals
How it works
Three steps to a system that understands itself
Connect the sources that define a system
Link the repos, docs, tickets, and wikis that describe how a team-owned system works. Savio ingests and indexes everything, tracking freshness and provenance.
Savio builds and updates a system model
An agent explores the codebase like a new team member — reading code, tracing dependencies, and reconciling what docs say with what the code actually does.
Reviews, answers, and signals — automatically
Savio reviews every PR with system context, answers questions with evidence, and surfaces contradictions, gaps, and stale assumptions as they appear.
The product
Start with PR review. Keep the system context.
Savio starts by reviewing pull requests. As it reads more evidence, it becomes useful for system questions, dependency changes, and planning.
Context-aware PR reviews
Every review draws on the full system model — not just the diff. Findings cite specific evidence and explain why the change matters.
Living system understanding
Structured sections with confidence levels, evidence citations, and freshness tracking. Ask questions and get grounded answers.
What needs attention
Contradictions, gaps, stale assumptions, and spec drift — surfaced automatically as the system model evolves.
Docs say auth uses JWT but code implements session tokens
No evidence found for error handling in payment webhook
Deployment runbook last verified 4 months ago
Dependencies and blast radius
Understand what a change might affect. See upstream dependencies, downstream consumers, and where contracts may break.
How Savio is different
More than a reviewer. Narrower than a chatbot.
Scoped to one system, not the whole company. Grounded in evidence, not free-form guesses. Useful before, during, and after the pull request.
vs. Linters & static rules
Savio understands the system, not just syntax. It catches logic issues, contract violations, and cross-file impact — not just style.
vs. Generic AI code reviewers
Most AI reviewers see only the diff. Savio reviews with the full system model — dependencies, docs, tickets, and team knowledge included.
vs. Internal docs that go stale
Savio continuously reconciles what docs say with what the code actually does, surfacing contradictions and gaps automatically.
vs. The one engineer who 'just knows'
Savio captures and structures system knowledge so it's not locked in one person's head. Evidence-backed, searchable, always current.
Security & enterprise
Built for teams that take security seriously
Organization isolation
Every organization's data is logically isolated. Systems, sources, and models never cross org boundaries.
Auditability
Sensitive actions are logged. See who connected a source, triggered a sync, or changed a system configuration.
SSO & access controls
Enterprise plans include SAML SSO, role-based access, and fine-grained permissions.
Dedicated deployment
Enterprise customers can run Savio in dedicated infrastructure with custom isolation and data residency.
Documentation
Get started in minutes
Everything you need to connect your first system and start getting value from Savio.
Give your system an agent.
Start with one system. Get your first PR review with real context in under five minutes.