Boomi
Software development
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
- 40% engineering team adoption
- 20% engineering productivity increase
- 20% of code generated via AI
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
A global leader in AI-augmented software testing providing an AI-native platform for test creation, execution, and insights across diverse application environments.
Developers often lack the resources or expertise to validate code quality efficiently, relying on manual tooling that allows bugs, broken links, and...
“We felt this AI use case would truly make a difference in the lives of developers, especially the large community of ‘non-developers’ globally.”
AI-augmented test automation platform for web, mobile, API, and desktop applications.
Cloud computing platform and on-demand infrastructure services.
Katalon's Automated software testing is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Manual testing couldn't keep pace. Now, AI agents validate code without scripts, cutting test durations by 60%.
A global leader in AI-augmented software testing providing an AI-native platform for test creation, execution, and insights across diverse application environments.
Developers often lack the resources or expertise to validate code quality efficiently, relying on manual tooling that allows bugs, broken links, and...
“We felt this AI use case would truly make a difference in the lives of developers, especially the large community of ‘non-developers’ globally.”
AI-augmented test automation platform for web, mobile, API, and desktop applications.
Cloud computing platform and on-demand infrastructure services.
Katalon's Automated software testing is part of this use case:
Related implementations across industries and use cases
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
Complex queries bottlenecked access to insights. Agents now translate plain language into expert dashboards and root cause analysis.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Manual coding took 40% of dev time. With AI handling code generation and security scans, engineering productivity rose 20%.
A bug sat for years because the fix meant a month of digging. AI traced the fragmented code to draft a solution in three days.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.