Ai Engineering Governance
From More Code to Trusted Code
Sri Rang
Technical GTM Lead @ Qodo
Author of Platform Agentic
"Definitive Guide for Building Secure, Compliant Agents"
https://platformagentic.com
10-Minute Promise
In 10 minutes:
- Why review becomes the bottleneck.
- How Qodo reviews a real PR with context.
- How rules turn standards into governance.
The Shift
Ai Moved the Bottleneck
The Bottleneck Moved
Sources carried forward from State of Ai Engineering: GitClear, Waydev, Faros Ai, DX.
Before
Implementation effort limited throughput.
Copilots, agents, templates, automation.
Now
Review, verification, security, governance.
Context, rules, agents, workflow.
The PR Is the Pressure Point
- Ai can produce larger changes faster.
- Human review capacity does not scale at the same rate.
- Standards are often scattered across docs, linters, and reviewer memory.
- The merge decision still belongs to the engineering organization.
The question is no longer just "can we generate it?"
It is "can we safely merge it?"
Qodo Architecture
Context + Rules + Agents
How Qodo Reviews a PR
Ai-assisted PR"] Inputs["2. Qodo gathers
review inputs"] Orchestrator["3. Review
Orchestrator"] Correctness["Correctness
Agent"] Security["Security
Agent"] Tests["Test
Agent"] Architecture["Architecture
Agent"] Compliance["Compliance
Agent"] Synthesis["4. Synthesis +
Prioritization"] Workflow["5. PR Comments +
Required Actions"] Analytics["5. Governance
Analytics"] Diff["PR diff"] Patterns["Repo patterns"] Context["Multi-repo context"] Plan["Ticket intent
Acceptance criteria"] Rules["Governance rules
Org / team / repo / path"] PR --> Inputs Inputs --> Diff Inputs --> Patterns Inputs --> Context Inputs --> Plan Inputs --> Rules Diff --> Orchestrator Patterns --> Orchestrator Context --> Orchestrator Plan --> Orchestrator Rules --> Orchestrator Orchestrator --> Correctness Orchestrator --> Security Orchestrator --> Tests Orchestrator --> Architecture Orchestrator --> Compliance Correctness --> Synthesis Security --> Synthesis Tests --> Synthesis Architecture --> Synthesis Compliance --> Synthesis Synthesis --> Workflow Synthesis --> Analytics classDef pr fill:#064e3b,stroke:#34d399,color:#fff classDef context fill:#164e63,stroke:#22d3ee,color:#fff classDef planning fill:#3b2f12,stroke:#fbbf24,color:#fff classDef rules fill:#4c1d95,stroke:#a78bfa,color:#fff classDef inputs fill:#581c87,stroke:#c084fc,color:#fff classDef orchestrator fill:#1e3a8a,stroke:#60a5fa,color:#fff classDef agent fill:#1f2937,stroke:#d1d5db,color:#fff classDef synthesis fill:#374151,stroke:#f9fafb,color:#fff classDef output fill:#7f1d1d,stroke:#f97316,color:#fff class PR pr class Diff,Patterns,Context context class Plan planning class Rules rules class Inputs inputs class Orchestrator orchestrator class Correctness,Security,Tests,Architecture,Compliance agent class Synthesis synthesis class Workflow,Analytics output
Why Multi-Agent Review
Code review is not one job.
- Correctness
- Security
- Reliability
- Testability
- Architecture
- Performance
- Compliance
- Ticket fit
Separates review responsibilities, then synthesizes into one workflow.
Demo
Follow the Risk
Demo 1
Code Review by Qodo
Invariant arming ignores type repair✓ ResolvedAction required🐞 Bug≡ CorrectnessInvariant can crash on type✓ ResolvedAction required🧑 Team insight☼ Reliability- Oversized config/service.py file
Action required📘 Rule violation⚙ Maintainability Persona PATCH needs batching✓ ResolvedAction required🔗 Cross-repo conflict≡ Correctness- Unbounded persona_identifier canonicalization
Remediation recommended🧑 Team insight☼ Reliability - Persona flow needs pr-agent update
Remediation recommended🔗 Cross-repo conflict☼ Reliability Dirty PATCH can be blocked✓ ResolvedRemediation recommended🧑 Team insight☼ ReliabilityUnnecessary config deepcopy✓ ResolvedRemediation recommended🐞 Bug↗ Performance
Demo 2
▼ 4. Persona PATCH needs batching
✓ Resolved
Action required
🔗 Cross-repo conflict
≡ Correctness
▶ Description
▶ Code
▼ Relevance
⭐⭐ Medium
Team previously rejected relaxing cross-field invariants for partial PATCH cases; may view FE batching as out-of-scope.
ⓘ Recommendations generated based on similar findings in past PRs
▼ Evidence
The backend now performs cross-field validation after merging the PATCH and returns success=false when invariants fail; unit tests demonstrate that PATCHing only persona_auto_select=false can be rejected depending on existing DB state. The frontend's Configurations form submits only dirty keys, which makes this exact partial-PATCH pattern likely when a user flips auto-select without also touching persona_identifier in the same save.
modules/config/service.py[216-223]
tests/unit/modules/config/test_service.py[430-459]
/repos/codium-ai-platform-client/src2/pages/Configurations/hooks/useConfigurationsForm.ts[75-91]
Governance
Review Judgment Made Explicit
Before Governance
- Standards live in documents.
- Senior reviewers remember edge cases.
- Security guidance is applied inconsistently.
- Repeated PR feedback stays informal.
- Leadership cannot see what still merges unresolved.
After Governance
- Define the rule once.
- Scope it by org, team, repository, or path.
- Set severity.
- Enforce it during review.
- Measure violations.
- Tune low-signal rules.
Governance is not a meeting after development.
It is your standards showing up in every PR.
Rules Engine Lifecycle
What reviewers keep saying
Clear pass / fail criteria
Apply where it matters
Action required or recommended
Passed, detected, merged
Adjust, disable, retire
Rules become governance when they are enforced, measured, and improved.
Suggested Rules
review pattern"] Suggestion["Suggested
rule"] Review["Admin
review"] Scope["Scope"] Activate["Activate"] Governance["Governance"] Pattern --> Suggestion --> Review --> Scope --> Activate --> Governance
Ai can suggest. Governance requires approval.
Governance Analytics
The rule was evaluated and passed.
A rule caught risk before merge.
The PR merged with unresolved risk.
Shows which risks still got through.
Trust
Benchmarks and Build vs Buy
| Agent | Precision | Recall | F1 |
|---|---|---|---|
| Qodo - Exhaustive | 63.8% | 56.7% | 60.1% |
| Qodo - Precise | 74.5% | 44.2% | 55.4% |
| Augment | 70.6% | 32.1% | 44.1% |
| Copilot | 50.1% | 37.4% | 42.8% |
| Cursor | 78.5% | 26.2% | 39.3% |
| Greptile | 68.5% | 27.2% | 39.0% |
| Codex | 83.0% | 24.3% | 37.6% |
| Coderabbit | 53.7% | 19.0% | 28.0% |
| Sentry | 85.3% | 13.8% | 23.7% |
Build vs Buy
| Capability | Build | Qodo |
|---|---|---|
| PR review agent | Platform-owned | Productized |
| Rule enforcement | Custom system | Built into review |
| Multi-repo context | Hard to maintain | Context engine |
| Governance analytics | Separate reporting | Portal metrics |
| Time to value | Months | Days |
Thank You
Sri Rang
Technical GTM Lead @ Qodo
