Uber · Task agent
Internal coding agent (unnamed)
Uber runs an internal coding agent that writes complete code changes with no human authoring, and engineers review and approve them. Its CTO reports that engineers now delegate tasks to the agent rather than accept its suggestions, and that its share of all code changes has grown from under 1%.
- Approach type
- Task agent
- Work
- Coding
- Human involvement
- Drafts reviewed
- Deployment stage
- Deployed
- Evidence strength
- Secondary only
- Entry reviewed
Where people stay involved
- coding request → complete code changeUnknown · Level unknown
Unclassified for coding request → complete code change; human attention boundary: unknown.
- Observation date
- 2026
Implementation details
unknown
Not specified publicly
Reported results and limitations
The catalog records what the sources report, with the scope and the denominator of every figure. A qualification below limits the figure it sits under.
Reported metrics
~1,800 complete code changes per week (~8% of changes)
- Reported by
- Uber
- Scope
- Code changes written entirely by the internal coding agent and human reviewed
- Denominator
- All Uber code changes for the reported 8% share
~1,800 complete code changes per week (~8% of changes at the time)
- Reported by
- Uber
- Scope
- Code changes written entirely by the internal coding agent and human reviewed
- Denominator
- All Uber code changes for the reported 8% share
95% of engineers use AI tools monthly
- Reported by
- Uber
- Scope
- Monthly use of AI tools among Uber engineers; not internal-agent-specific adoption
- Denominator
- Uber engineers
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.
- Uber's CTO on AI coding agents (Business Insider)https://www.businessinsider.com/uber-cto-ai-coding-agentic-software-engineers-2026-3
Research details for every claim on this page
- Summary
- Statement type
- Fact
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Only limited public evidence supports this claim.
- Headline claim
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Only limited public evidence supports this claim.
- Reported by
- Uber
- Scope
- Code changes written entirely by the internal coding agent and human reviewed
- Denominator
- All Uber code changes for the reported 8% share
- Method
- Not reported
- Observation date
- Not reported
- SupportsUber's CTO on AI coding agents (Business Insider)Preserved content.md, lines 24–26
- Sandbox
- Statement type
- Inference
- Provenance
- Catalog judgment
- Confidence
- Medium
- Confidence reason
- The preserved sources do not document an execution sandbox; unknown does not mean absent.
- Harness
- Statement type
- Fact
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Only limited public evidence supports this claim.
- Key observation
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Only limited public evidence supports this claim.
- Reported by
- Uber
- Scope
- Code changes written entirely by the internal coding agent and human reviewed
- Denominator
- All Uber code changes for the reported 8% share
- Method
- Not reported
- Observation date
- Not reported
- SupportsUber's CTO on AI coding agents (Business Insider)Preserved content.md, lines 24–26
- Key observation
- Statement type
- Metric
- Provenance
- Reported
- Confidence
- Medium
- Confidence reason
- Only limited public evidence supports this claim.
- Reported by
- Uber
- Scope
- Monthly use of AI tools among Uber engineers; not internal-agent-specific adoption
- Denominator
- Uber engineers
- Method
- Not reported
- Observation date
- Not reported
- SupportsUber's CTO on AI coding agents (Business Insider)Preserved content.md, lines 18
- Operating model assessment
- Statement type
- Inference
- Provenance
- Catalog judgment
- Confidence
- Unverified
- Confidence reason
- The available source reports output volume but does not document where human attention returns.
- Observation date
- 2026