GitLab
Top 5 Use Cases & ROI
See how GitLab Duo Agent Platform delivers measurable ROI across your software development lifecycle — from code review to vulnerability resolution.
GitLab Duo Agent Platform
USE CASE 01
100x ROI
Code Review
Scale Quality Without Adding Headcount
Problem: Senior engineers are the bottleneck; tens of thousands of MRs per month need review.
Solution: Duo runs a first-pass review and posts inline comments directly in the MR.
Customers are saying...
"Code review quality rated as 'exceeding human review.'"
"We really like DAP for code review... looking to replace CodeRabbit."
"Scored 5 out of 5 on all dimensions in a 23-use-case evaluation."
Savings: 100x ROI w/ ~20 minutes saved per MR at $75/hr
Scenario
Adoption
MR/Mo
Cost/Mo
Hrs Saved
Savings
ROI
Conservative
10%
4,248
$1,062
1,416 hrs
$106,200
100x
Medium
15%
6,372
$1,593
2,124 hrs
$159,300
100x
Aggressive
25%
10,620
$2,655
3,540 hrs
$265,500
100x
Model ROI for 22,500 seats creating 42,481 MRs/month. $0.25 per code review.
USE CASE 02
16x ROI
Fix Failed Pipelines
Remove Innovation Blocks for Teams
Problem: Each failed pipeline costs engineering time, while MRs and downstream work is blocked.
Solution: Fix Pipeline flow reads logs, diagnoses causes, and opens an MR with a proposed fix.
Customers are saying...
"Pipeline failure resolution is one of three metrics alongside code review."
"65,000 pipelines/day, ~26% failure rate. Core use case."
"80% of infra time spent on manual releases. Pipeline fix is highest-value flow."
Savings: 16x ROI w/ ~1.5 hours saved at $75/hr loaded rate
Scenario
Adoption
Fixes/mo
Cost/mo
Hrs Saved
Value/mo
ROI
Conservative
3%
266
$1,768
399 hrs
$29,925
16x
Medium
10%
885
$5,885
1,327 hrs
$99,525
16x
Aggressive
25%
2,221
$14,769
3,331 hrs
$249,862
16x
Enterprise (8,885 failed pipelines/month). Time saved: 90 min/fix at $75/hr.
USE CASE 03
8x ROI
Duo Agentic Chat
Agentic Task Delegation and Analysis Across the SDLC
Problem: Developers spend 30-40% of their time searching for answers — reading docs, asking colleagues in Slack, reading unfamiliar codebases.
Solution: Contextual agentic chat in the UI, IDE and CLI answers questions with live project context. Extend with domain-specific agents via the AI Catalog.
Customers are saying...
"I use it for everything I do now."
"DAP's differentiator is native GitLab context."
"50 people across 10 use cases built agents in a day."
Savings: 8x ROI, 30 minutes daily
Scenario
Adoption
Sessions
Cost/mo
Hrs Saved
Value/mo
ROI
Conservative
10%
20,000
$90,000
10,000 hrs
$750,000
8x
Medium
30%
60,000
$270,000
30,000 hrs
$2,250,000
8x
Aggressive
75%
150,000
$675,000
75,000 hrs
$5,625,000
8x
Enterprise: 10,000 users, daily sessions, 30 min saved daily at $75/hr. Cost calculated at $4.50/session
USE CASE 04
12x ROI
Software Development Flow
Compress "Work Item to MR" from Days to Minutes
Problem: Waiting for work items to get picked up can take days; once a developer is assigned it can take 2-4 hours per work item.
Solution: Engineers describe the change in natural language; Duo analyzes the codebase, generates implementation and tests, and stages the changes for review.
Customers are saying...
"Building a brand new system, all from AI without human involvement pretty much. It's pretty quick."
"Our first pass through the development happened between seven and ten times faster" with 95% test coverage in first pass.
Savings: 2 hours per work item at $75/hour
Scenario
Items/mo
Cost/mo
Hrs Saved
Value/mo
ROI
Conservative
2,080
$27,664
4,160 hrs
$312,000
12x
Medium
6,240
$82,992
12,480 hrs
$936,000
12x
Aggressive
10,396
$138,266
20,792 hrs
$1,559,400
12x
ROI calculation: 14 credits avg & 2 hrs saved per work item at $75/hr.
USE CASE 05
29x ROI
SAST Vulnerability Resolution
AI Code Remediation of SAST Vulnerabilities
Problem: Hundreds or thousands of SAST findings per month, limited capacity to fix, MTTR in months as audit risk grows.
Solution: Analyzes each selected finding and creates an MR with the fix.
Customers are saying...
"Facing 300,000 vulnerabilities across 70 projects. Security remediation is #1 use case."
"Regulatory drivers — DORA, NIST compliance requires demonstrable vulnerability remediation velocity."
"Session visibility/audit trail is a differentiator for defense/government customers."
Savings: 29x ROI based on $3.90 in credits vs $112.50 of labor
Scenario
Adoption
Vulns/mo
Cost/mo
Hrs Saved
Value/mo
ROI
Conservative
5%
370
$1,443
555 hrs
$41,625
29x
Medium
15%
1,100
$4,290
1,650 hrs
$123,750
29x
Aggressive
30%
2,190
$8,541
3,285 hrs
$246,375
29x
Time to manually fix one vulnerability: 1.5 hrs at $75/hr. $3.90 in credits vs $112.50 of labor.
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