One map of your whole system.
Answers for every team on it.
Impact reads across all of your repositories at once — services, contracts, call paths, and the runtime behavior fused on top — and turns that into the specific answer each team is actually asking for. Platform teams want safe cross-repo change. Security wants the whole surface in one view. Leaders want to know what got prevented. Developers and their agents want to know what breaks before they touch it. Same intelligence, four jobs.
Platform & Developer Experience
Ship cross-repo changes without breaking the fleet.
You own dozens of services that call each other in ways no single person holds in their head. A shared client bumps a version, a field changes shape, and three teams find out in production. The dependency graph lives in tribal knowledge and stale Confluence pages.
Living System Map
One always-current map across every repo — services, contracts, and the call paths that connect them, with runtime telemetry fused in so the map reflects what actually runs, not just what the static imports imply.
Contract Drift detection
Breaking API changes are caught pre-merge, down to field-level shape changes. If a producer changes a response and a consumer three repos away depends on it, you see it before the PR lands, not after the pager goes off.
Change Conductor
Ordered, multi-repo change plans with coordinated draft PRs and a rollback path. Migrate a shared contract across every consumer in the right sequence instead of hand-tracking a spreadsheet of dependent teams.
Breakage prediction
Cross-repo blast radius for any proposed change — every downstream file and service that would be affected, ranked, before you commit to the work.
Coordinated change across many services becomes a plan you can review, not a surprise you clean up.
Security Teams
See vulnerabilities and breaking-auth drift across every repo.
Your scanners run per-repo, so a vulnerability class that spans services is invisible until someone stitches the reports together by hand. An auth contract quietly changes shape and no one notices until a downstream check stops enforcing what it used to. And when auditors ask, the trail is scattered across five tools' logs.
Security scanning, Semgrep-backed
Deep static analysis on every scan, across the whole system rather than one repo at a time — so vulnerability patterns that only show up across service boundaries surface in one place.
Breaking-auth drift
Contract Drift detection watches the shape of the interfaces that carry authentication and authorization. When a security-relevant contract changes pre-merge, it is flagged against every consumer that relies on it.
Audit log
A durable, queryable record of what changed, who acted, and when — the single trail to hand an auditor instead of reassembling history from disparate systems.
SSO, MFA, and RBAC
Enterprise access controls on the platform itself: single sign-on, multi-factor authentication, and role-based access so the right people see the right repos.
Security posture becomes something you can see across the whole system, not something you infer from twelve reports.
Engineering Leaders
Know where the risk is, and what you already prevented.
You are asked whether quality is improving and where the next incident is hiding, and the honest answer is a shrug backed by gut feel. The work your team does to prevent breakage is invisible on any dashboard, so it never shows up in the story you tell leadership.
Health Forecast
A forward-looking view of the files most likely to break next, so review attention and refactoring budget go where the risk actually is instead of where it was last quarter.
Outcome Ledger
A running tally of dollars of breakage prevented alongside a calibrated prediction hit-rate, driven by a trained risk model — so prevention becomes a number you can put in front of leadership, honestly measured.
Quality gates
Enforceable thresholds on the metrics your team agreed to hold the line on, wired into the change flow so standards are checked automatically rather than negotiated per PR.
Trends over time
Whether the numbers are moving the right way, tracked across scans — the difference between "we think it is getting better" and knowing.
The question "is quality improving, and what did we prevent?" gets an answer with a number attached.
Developers & AI Agents
"What breaks if I change this?" — answered before you edit.
You are about to change a function you did not write, and the only way to know what depends on it is to change it and wait for something to fail. AI coding agents have the same blind spot at machine speed: they edit confidently with no idea what lives downstream.
Blast radius on demand
Ask what a change touches and get the cross-repo answer up front — every downstream caller and service affected — so you know the shape of the work before the first edit.
File context
Pull the map-aware context for any file: what it depends on, what depends on it, and where it sits in the wider system, without leaving the file you are in.
Sandboxed simulation
Confirm a break before shipping. Simulate the change in a sandbox and watch what it would do, so a risky edit gets caught by you rather than by production.
VS Code extension & MCP tools
The same intelligence in your editor and wired into your agents. Agent Tools over MCP let an AI assistant query blast radius and file context before it edits — the guardrail lives where the change is made.
Both you and your agents get to ask "what depends on this?" before touching it, not after.
Fast enough to live in the loop
~30s median scan.
The whole point of a system map is that it is current. Scans finish in about thirty seconds for the median repo, so blast radius, contract drift, and the health forecast reflect the code as it is right now — not as it was at the last nightly run.
See it on your own repos.
Point Impact at your codebase and get the map, the drift check, and the blast radius in one scan. If you would rather talk through your setup first, we answer every email.