See where a code change
actually breaks.

The DeltaLabs review method traces a change into callers, tests, schemas, configuration, and data paths. It keeps only defensible findings and leaves incomplete work visible.

Request Access

Example review artifact

4d7f2c1 a903e82

Validated

Concurrent refresh can issue two active credentials

High confidence

services/auth/refresh.py · lines 124 to 131

Two callers can read the same active token before either revocation commits. Both requests then issue a replacement, leaving more than one valid credential.

124current = await tokens.get_active(token_id)
125if current.expires_at < now:
126  raise TokenExpired()
127await tokens.revoke(current.id)
128return await tokens.issue(user_id)
Trigger
Two refresh requests arrive before the first write commits.
Mechanism
The read and writes share no comparison guard or row lock.
Impact
One credential can create two independently valid sessions.

A finding has to carry its own evidence.

A short list is only useful when each item names the trigger, failure mechanism, impact, and exact code location.

Keep the list short

Prioritize correctness, security, data integrity, compatibility, and concurrency. Leave style noise and duplicated linter output behind.

Point to exact code

Every accepted finding ties a concrete trigger and failure mechanism to exact source at the reviewed revision.

Show unresolved work

Unsupported capability, failed tooling, opaque input, and exhausted budget become explicit coverage outcomes.

Follow cross-file contracts

Follow contracts across services, schemas, events, configuration, databases, and generated clients instead of reviewing language islands.

Start with the exact revision.

DeltaLabs follows the behavior a change can affect and tries to disprove its first explanation before a finding reaches you.

Bind the exact change

Resolve immutable base and head identities, classify every changed unit, and seal the analysis inputs before review work begins.

Investigate the consequence

Map affected surfaces, open falsifiable hypotheses, collect context, and search for evidence that supports or refutes each claim.

Publish the record

Apply an independent quality gate, deduplicate conclusions, and return one artifact with findings, validation, coverage, and gaps.

One change can cross five file types.

A route, schema, migration, and worker can describe one behavior in four different languages. The review architecture connects those facts to determine what the change can affect.

  • Universal baseline for every eligible text unit
  • Eligibility follows authorization, trusted policy, decoding, and resource limits
  • Specialist facts layered where capability exists
  • Opaque, binary, excluded, and oversized inputs remain visible as gaps

Every changed surface gets a coverage record.

The review artifact separates actionable findings from refuted ideas, unresolved risk, policy skips, and unavailable tooling. Silence never impersonates certainty.

Coverage ledger

Changed behavioral surfaces

Example artifact

Example coverage outcomes
Surface Correctness Security Tests
Token refresh Validated Supported Validated
Audit event Supported Refuted Unresolved
Response schema Refuted Not applicable Supported
Opaque fixture Unresolved · opaque input Unresolved · opaque input Not applicable

One validated finding is actionable, and one material test surface remains unresolved. This artifact cannot report a clean review.

Reviewed repositories are untrusted input.

The reviewer boundary requires authorization before retrieval, read only source, isolated validation, bounded budgets, and explicit provider data modes.

  • Authorization before context
  • Source remains read-only
  • Validation stays isolated
  • Limits and gaps stay explicit

Deployment guarantees depend on the agreed access arrangement and verified controls.

Questions about DeltaLabs.

How DeltaLabs defines scope, evidence, coverage, and trust.

What is DeltaLabs?

DeltaLabs centers code review on immutable changes, defensible findings, and explicit coverage.

What does DeltaLabs review?

The review scope covers immutable code changes across eligible text based source, configuration, schemas, queries, and build files.

Does it support every language equally?

No. The review contract assigns every eligible text change a universal baseline. Deeper semantic and validation claims depend on available capabilities, and gaps remain visible.

How are findings challenged?

The review contract treats each plausible defect as a falsifiable hypothesis. The reviewer searches for supporting evidence, counterevidence, and the cheapest credible validation path.

What does an empty review mean?

An empty findings list is not meant to hide incomplete work. Material unresolved, skipped, or failed coverage stays visible and prevents an unqualified clean result.

Does DeltaLabs edit my source?

No. Submitted source is read only by default. DeltaLabs supports human approval rather than replacing it and cannot guarantee that reviewed code is defect free.

How is proprietary code handled?

The security boundary requires authorization before retrieval, content scoped indexes, isolated validation, bounded resources, and explicit model data modes. Deployment guarantees depend on the agreed access arrangement and verified controls.

Where will DeltaLabs fit in my workflow?

The review engine is surface independent. Local, source control, CI, IDE, and API workflows can consume the same canonical review artifact.