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How to Use Devin for CI failure investigations

Learn Devin ci failure investigations with step by step workflows, realistic examples, and verified plan notes.

Devin works well for ci failure investigations when you run it like production work: locked brief, SOURCE facts, then review before publish. Devin is Cognition's AI software engineer that plans, writes code, runs commands, and completes development tasks in cloud and desktop environments. Confirm live plans on official Devin pages. Review diffs and destructive commands before apply. Start at /explore/devin.

This guide focuses on ci failure investigations in detail. Related Devin articles: /blog/how-to-use-devin-for-pull-request-handoffs, /blog/how-to-use-devin-for-test-after-edit-loops, /blog/how-to-use-devin-for-repo-navigation-tasks.

When this workflow is the right job

Use ci failure investigations when the deliverable is specifically this Devin job. Switch to autonomous feature builds when that workflow already owns the asset.

Step by step workflow

1. Brief CI failure investigations

Write what must stay true for ci failure investigations in Devin before settings or spend.

Brief: CI failure investigations
Keep: verified SOURCE facts only
Avoid: invented pricing or features
Success: one reviewable output

2. Open Devin for CI failure investigations

Use the Devin surface that owns ci failure investigations. Do not mix a neighboring workflow in the same pass.

Surface: CI failure investigations
Start: pilot with one representative input
Plans: devin.ai

3. Pilot CI failure investigations

Run a single ci failure investigations pilot. Score clarity, grounding, and whether the output is reviewable.

Pilot: CI failure investigations
[ ] SOURCE facts match
[ ] Output reviewable
[ ] Settings logged

4. Refine CI failure investigations

Change one ci failure investigations dimension only. Save a template from the best run.

Refine: CI failure investigations
Change: one control only
Keep: SOURCE and success criteria

Practical ci failure investigations examples

README install update

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "README install update".

Objective:
Land a reviewable code change for CI failure investigations that addresses README install update, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for README install update
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for README install update → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on README install update, test results, and a short summary of what changed for CI failure investigations.

Lint clean pass

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Lint clean pass".

Objective:
Land a reviewable code change for CI failure investigations that addresses Lint clean pass, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Lint clean pass
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Lint clean pass → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Lint clean pass, test results, and a short summary of what changed for CI failure investigations.

Type narrowing fix

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Type narrowing fix".

Objective:
Land a reviewable code change for CI failure investigations that addresses Type narrowing fix, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Type narrowing fix
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Type narrowing fix → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Type narrowing fix, test results, and a short summary of what changed for CI failure investigations.

API docs sync

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "API docs sync".

Objective:
Land a reviewable code change for CI failure investigations that addresses API docs sync, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for API docs sync
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for API docs sync → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on API docs sync, test results, and a short summary of what changed for CI failure investigations.

Fixture update

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Fixture update".

Objective:
Land a reviewable code change for CI failure investigations that addresses Fixture update, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Fixture update
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Fixture update → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Fixture update, test results, and a short summary of what changed for CI failure investigations.

Error message clarity

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Error message clarity".

Objective:
Land a reviewable code change for CI failure investigations that addresses Error message clarity, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Error message clarity
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Error message clarity → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Error message clarity, test results, and a short summary of what changed for CI failure investigations.

Import cycle break

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Import cycle break".

Objective:
Land a reviewable code change for CI failure investigations that addresses Import cycle break, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Import cycle break
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Import cycle break → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Import cycle break, test results, and a short summary of what changed for CI failure investigations.

Env validation

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Env validation".

Objective:
Land a reviewable code change for CI failure investigations that addresses Env validation, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Env validation
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Env validation → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Env validation, test results, and a short summary of what changed for CI failure investigations.

Retry helper

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Retry helper".

Objective:
Land a reviewable code change for CI failure investigations that addresses Retry helper, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Retry helper
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Retry helper → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Retry helper, test results, and a short summary of what changed for CI failure investigations.

Logging redaction

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Logging redaction".

Objective:
Land a reviewable code change for CI failure investigations that addresses Logging redaction, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Logging redaction
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Logging redaction → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Logging redaction, test results, and a short summary of what changed for CI failure investigations.

CLI flag parse

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "CLI flag parse".

Objective:
Land a reviewable code change for CI failure investigations that addresses CLI flag parse, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for CLI flag parse
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for CLI flag parse → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on CLI flag parse, test results, and a short summary of what changed for CI failure investigations.

Snapshot refresh

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Snapshot refresh".

Objective:
Land a reviewable code change for CI failure investigations that addresses Snapshot refresh, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Snapshot refresh
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Snapshot refresh → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Snapshot refresh, test results, and a short summary of what changed for CI failure investigations.

Dead code removal

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Dead code removal".

Objective:
Land a reviewable code change for CI failure investigations that addresses Dead code removal, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Dead code removal
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Dead code removal → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Dead code removal, test results, and a short summary of what changed for CI failure investigations.

Contract test

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Contract test".

Objective:
Land a reviewable code change for CI failure investigations that addresses Contract test, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Contract test
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Contract test → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Contract test, test results, and a short summary of what changed for CI failure investigations.

Migration note

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Migration note".

Objective:
Land a reviewable code change for CI failure investigations that addresses Migration note, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Migration note
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Migration note → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Migration note, test results, and a short summary of what changed for CI failure investigations.

Benchmark script

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Benchmark script".

Objective:
Land a reviewable code change for CI failure investigations that addresses Benchmark script, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Benchmark script
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Benchmark script → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Benchmark script, test results, and a short summary of what changed for CI failure investigations.

Security header

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Security header".

Objective:
Land a reviewable code change for CI failure investigations that addresses Security header, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Security header
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Security header → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Security header, test results, and a short summary of what changed for CI failure investigations.

Auth middleware refactor

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Auth middleware refactor".

Objective:
Land a reviewable code change for CI failure investigations that addresses Auth middleware refactor, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Auth middleware refactor
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Auth middleware refactor → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Auth middleware refactor, test results, and a short summary of what changed for CI failure investigations.

Flaky test fix

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Flaky test fix".

Objective:
Land a reviewable code change for CI failure investigations that addresses Flaky test fix, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Flaky test fix
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Flaky test fix → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Flaky test fix, test results, and a short summary of what changed for CI failure investigations.

Issue #scoped feature

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Issue #scoped feature".

Objective:
Land a reviewable code change for CI failure investigations that addresses Issue #scoped feature, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Issue #scoped feature
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Issue #scoped feature → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Issue #scoped feature, test results, and a short summary of what changed for CI failure investigations.

Rate limit guard

Scenario:
A developer uses Devin for CI failure investigations where the critical change is "Rate limit guard".

Objective:
Land a reviewable code change for CI failure investigations that addresses Rate limit guard, with tests or checks run.

Inputs:
- Relevant file/symbol paths
- Failing test or issue text for Rate limit guard
- Constraints: no public API breaks unless stated
- Test/lint command to run after edits

Workflow:
Scope files → Instruct Devin for CI failure investigations → Review diff for Rate limit guard → Run tests → Commit if green

Requirements:
- Stay within verified Devin capabilities; do not invent features.
- Confirm live plan notes on devin.ai before promising volume.
- Change one variable between iterations.
- Human-review before external publish, send, billing, or clinical/legal use.
- Never apply destructive commands without review.

Expected output:
A diff centered on Rate limit guard, test results, and a short summary of what changed for CI failure investigations.

How to improve ci failure investigations

Cut noise from ci failure investigations by removing extra adjectives while preserving SOURCE facts in Devin.

Raise quality by insisting on a single success check before debating style.

Make review easier by labeling fields that must never change.

Speed iteration by cloning the last good run and altering only one control.

Stabilize outputs by pinning settings after the pilot is approved.

Reduce rework by rejecting drafts that invent claims.

Improve handoffs by recording which control produced the best result.

Harden the workflow by testing an incomplete input before trusting defaults.

Prompting and usage guidance

Name the ci failure investigations job, audience, and success check before opening Devin.

Paste only verified facts under SOURCE so Devin cannot invent details.

Specify the deliverable shape up front.

Call out fixed details versus flexible style choices.

Ask Devin to flag unsupported claims before you accept the draft.

Limitations to respect

Check Devin plan gates for ci failure investigations on devin.ai before you promise timelines.

Keep drafts unpublished until a human confirms SOURCE facts.

Devin can be wrong. Treat ci failure investigations as provisional until review.

If documentation is silent on a claim, leave it out rather than guessing.

Practical tips for this workflow

Pilot once before batching ci failure investigations in Devin.

Keep a reusable template with variables for ci failure investigations.

Separate creative instructions from SOURCE facts.

Log settings from the best run.

Common mistakes

  • Skipping the pilot run before scaling volume
  • Inventing pricing, quotas, or features not on official pages
  • Mixing unrelated workflows in one session
  • Publishing without a human review gate

Treat ci failure investigations in Devin as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-devin-for-pull-request-handoffs, /blog/how-to-use-devin-for-test-after-edit-loops, /blog/how-to-use-devin-for-repo-navigation-tasks.

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