Get the ultimate guide to shifting left with data contracts — O'Reilly Book
Get the ultimate guide to shifting left with data contracts — O'Reilly Book

Stop cross-team breakage before it ships.

See each field’s origin, transforms, and downstream teams and services so you can block risky merges and automate impact analysis.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form. Please try again.

Introducing Shift-Left Field-Flow Lineage

Gable builds a field-level compute graph directly from your code. It turns “what exists, how it’s computed, and who depends on it” into a self-serve view and flags cross-service blast-radius in the pull request—no runtime penalty.

SCAN

Hidden dependencies

You can’t see all the places a field flows or who relies on it, so reviews stall and surprise breakage slips through.

INSIGHTS

Unknown blast-radius

A small server-side change can ripple across services. Before the merge, you don’t know which teams, jobs, or dashboards it hits.

CONTROL

Slow audits & root cause analysis

When leadership or compliance asks, “How is this value computed?” or something breaks, you lose hours reconstructing the path.

Solutions

Make dependencies obvious

Field-Flow Graph

Code-derived map of producers, transforms, and consumers across services.

Ownership Directory

Every field shows the accountable team and contact in context.

Stop cross-service breakage pre-merge

CI Impact Check

PRs display downstream dependents and why they’re affected.

Policy Gate

Optional status check blocks merges until impact is acknowledged.

Speed audits and reviews

Lineage Snapshots

Export explainable compute paths in one click.

Query by Field

Answer “how is this value computed?” in seconds.

Gable Understands Your Code

Register data generating code across your company's most complex repositories and data systems

This code is designed to streamline the process of generating and registering data across your company's most intricate repositories and data systems

1
2
3
4
5
6
7
8
9
10
11
12
13
14
@PostMapping("/data")
public ResponseEntity<String> sendAnalyticsEvent(UserID id,
SessionID session, EventType type) {
ㅤㅤAnalyticsEvent event = new AnalyticsEvent.Builder()
ㅤㅤㅤㅤㅤㅤㅤ.eventType(type)
ㅤㅤㅤㅤㅤㅤㅤ.userId(id)
ㅤㅤㅤㅤㅤㅤㅤ.sessionId(session)
ㅤㅤㅤㅤㅤㅤㅤ.timestamp(System.currentTimeMillis())
ㅤㅤㅤㅤㅤㅤㅤ.build();
ㅤㅤreturn  ResponseEntity.ok(analyticsService.pushEvent(ev ent))
ㅤㅤㅤㅤㅤㅤㅤ.orElseThrow(
ㅤㅤㅤㅤㅤㅤㅤㅤㅤ() -> new RuntimeException(String.format("Could not
register event for user: %s", id.getName()))
ㅤㅤㅤㅤㅤㅤㅤ);
}
1
2
3
4
5
6
7
8
9
10


11
import { track } from '@amplitude/analytics-browser';
export enum AmplitudeEventNames {  
ViewDataAssetFromChangelog = 'Clicked View Data Asset from
Changelog',
}
const changelogAmplitudeData = {
ㅤㅤeventTitle: 'minute-watched',
ㅤㅤentityType: 'video',
modifications: [],
}
;document.body?.addEventListener('click', () => {
track(AmplitudeEventNames.ViewDataAssetFromChangelog,
changelogAmplitudeData);
});
1
2
3
4
5
6
7
8
9
10
11
12
13
14
struct Event {
ㅤㅤㅤlet type: EventType
ㅤㅤㅤlet metadata: [String: Any]?
}
let upcomingEvents: [Event] = [
ㅤㅤㅤEvent(
ㅤㅤㅤㅤㅤtype: .query,
ㅤㅤㅤㅤㅤmetadata: [
ㅤㅤㅤㅤㅤㅤㅤ"client": "Deep Thought",
ㅤㅤㅤㅤㅤㅤㅤ"total_queries": 1
ㅤㅤㅤㅤㅤ]
ㅤㅤ )
]

Features

Field-Flow Graph

Builds a graph from your code that shows how each field is computed and where it flows across services. Updates on every merge and adds next to no overhead.

CI Impact Check

On each PR, annotations call out the downstream services impacted and why (field change, transform logic, schema). Reviewers see blast-radius before merge.

Owner Directory

Every field and edge lists the accountable team and contact based on repo/org data. It’s the answer to “who owns this?” exactly where you need it.

Incident Traceback

When something breaks, reconstruct the code path for that value and highlight the most likely responsible change. Share a URL with the relevant context to speed the fix.

“I believe that Gable is the first next generation data management platform built for the AI era. It’s game changing for any company that truly values data and in this punch card generation of AI, I believe this is foundational.”

Kelvin Lim

Chief Technology Officer at x15ventures

“After putting Gable in production, we've had 0 data-related incidents.”

Zakariah Siyaji

Engineering Manager, Data Platform

Read our featured Articles