Internal Agents Map

Deflaker

Deflaker investigates and repairs flaky tests for Dropbox engineers using Nova.

Company
Dropbox
Approach type
Agent
Work
Coding
Human involvement
Unknown
Invocation
Event-driven
Deployment stage
Deployed
Evidence strength
Detailed primary
Entry reviewed
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How it works

Athena flaky-test detection → CI-validated fix or capped attempts.

Collect evidence

Athena identifies flakiness; Deflaker gathers passing and failing logs.[Source 1]

Propose a repair

Nova diagnoses the likely cause and proposes a change.[Source 1]

Retry or finish

Failed validation starts another attempt with new logs and prior notes; the workflow lands a fix or stops after five attempts.[Source 1]

Where people stay involved

People review, approve, or guide the agent’s work here.

Not reported: The source describes an automated fix-and-validate loop and publication outside the agent, but does not state the required human approval or exception-handling policy.

  • Supervision level

    Not classified

    • Athena flaky-test detection → CI-validated fix or capped attempts[Source 1]

How supervision levels work

Implementation details

Model
Not reported
Harness
Durable remediation workflow calling Nova; publication and CI remain outside the coding agent.[Source 1]
Sandbox
Not reported
Tool access
Not reported
Knowledge
Not reported
Context management
Prior attempt notes and new test logs accompany retries.[Source 1]
Credentials
Not reported
Interfaces
Not reported

Validation and failure handling

Validate repeatedly

CI repeats the test at least 100 times, depending on its failure rate.[Source 1]

Reported observations

Not reported

Lessons

Not reported: The available sources do not report lessons from this work.

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Sources and research details

Citations link to the original publisher. Each source also keeps a preserved copy in the repository, so a changed or removed page stays checkable.

  1. Introducing Nova, our internal platform for coding agentshttps://dropbox.tech/machine-learning/introducing-nova-our-internal-platform-for-coding-agentsEngineering blog · First party · Last source verification: 2026-08-31
Question coverage and scope
purpose
Reported
workflow
Reported
human involvement
Not reported: The source describes an automated fix-and-validate loop and publication outside the agent, but does not state the required human approval or exception-handling policy.
implementation
Reported
validation
Reported
observations
Not reported
lessons
Not reported
Research details for every claim on this page
  1. Summary
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  2. Harness
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  3. Context management
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  4. Collect evidence
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  5. Propose a repair
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  6. Validate repeatedly
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  7. Retry or finish
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  8. Operating model assessment
    Statement type
    Inference
    Provenance
    Catalog judgment
    Confidence
    Unverified
    Confidence reason
    The source describes an automated fix-and-validate loop and publication outside the agent, but does not state the required human approval or exception-handling policy.
    Observation date
    2026