Discover how top-performing engineering teams are leveraging AI across the SDLC to boost productivity by 40%+
2025 EDITION
For Engineering Teams
AI Adoption Across SDLC
Published August 31, 2025
See how you rank for investment, adoption and measurement
Get data-driven answers from the industry's most comprehensive AI adoption study
Find out the industry average spend per engineer
Discover which tools deliver real productivity gains
Get hard data on returns from AI investments
See effectiveness ratings from 500+ engineering teams
Learn how top performers are gaining competitive advantage
Get your free copy of the report on August 31, 2025
Compare your AI tool spending to peers
See where you rank in AI adoption across 8 SDLC phases
Learn how leaders measure and maximize AI impact
Discover the most effective AI tools by SDLC phase
Identify critical AI capabilities your team needs
Get actionable recommendations for AI strategy
See how engineering teams are leveraging AI tools in each phase of development
Popular Tools
ChatGPT, Claude, Notion AI
Adoption Rate
68%
Impact
+35% faster requirements gathering
Popular Tools
Figma AI, Miro AI, Diagram GPT
Adoption Rate
52%
Impact
+28% design iteration speed
Popular Tools
GitHub Copilot, Cursor, Tabnine
Adoption Rate
84%
Impact
+42% coding productivity
Popular Tools
PR-Agent, CodeRabbit, Reviewable
Adoption Rate
71%
Impact
+38% review efficiency
Popular Tools
Testim, Mabl, Katalon AI
Adoption Rate
45%
Impact
+55% test coverage
Popular Tools
CircleCI AI, Harness, GitLab AI
Adoption Rate
39%
Impact
+48% deployment frequency
Popular Tools
Datadog AI, New Relic AI, Splunk
Adoption Rate
56%
Impact
-62% MTTR
Popular Tools
Slack AI, Confluence AI, ReadMe AI
Adoption Rate
73%
Impact
+41% documentation quality
Get actionable insights from the most comprehensive study of AI adoption in engineering teams
88%
?%
What percent of high-performing teams use AI in 5+ SDLC phases?
88%
$?.??
What's the average ROI for every $1 spent on AI dev tools?
88%
?%
How much faster is deployment frequency for teams using AI?
88%
?%
What percentage of teams struggle to measure AI tool effectiveness?
2025 EDITION
For Engineering Teams
AI Adoption Across SDLC
Published August 31, 2025
Our comprehensive 50+ page report includes detailed analysis across all key areas:
*Projected based on survey data
500+
engineering teams surveyed
$2.5M+
in annual AI tool investments
8
SDLC phases analyzed
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Join 500+ engineering leaders in the most comprehensive AI benchmark study
No, participation is completely free. There's no cost to take the survey or receive the report.
The survey takes approximately 15 minutes to complete and covers AI adoption across 8 SDLC phases.
Yes, all responses are anonymized and aggregated. No individual company data will be shared in the report.
The 50+ page report includes AI adoption rates, tool effectiveness rankings, ROI data, budget trends, implementation strategies, and personalized benchmarks for survey participants.
The report will be published and sent to all participants on August 31, 2025.
Engineering leaders, CTOs, VPs of Engineering, Engineering Managers, and anyone responsible for technology decisions in their organization.
Yes, the report can be shared within your organization. We encourage you to discuss the findings with your team.
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This is the only report focused specifically on AI adoption across all 8 phases of the SDLC, with data from 500+ engineering teams and personalized benchmarking for participants.