Fixing defects in massive C++ systems took weeks. AI agents now run autonomous compile-test-fix loops, resolving issues in hours.
A global technology leader operating some of the world’s most complex software systems with massive multi-repository, C/C++-heavy codebases.
Manual workflows for build optimization, defect remediation, and framework migrations were time-consuming across massive, interconnected...
“I’ve loved discovering new opportunities to integrate Codex into Cisco's enterprise software lifecycle workflows. Collaborating with the OpenAI team to get Codex enterprise production ready has been rewarding as well.”
Networking, security, and IT infrastructure for enterprise digital operations.
AI research and deployment company developing generative models and tools.
Cisco's Software development automation is part of this use case:
Related implementations across industries and use cases
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
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.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
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 workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
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.
Fixing defects in massive C++ systems took weeks. AI agents now run autonomous compile-test-fix loops, resolving issues in hours.
A global technology leader operating some of the world’s most complex software systems with massive multi-repository, C/C++-heavy codebases.
Manual workflows for build optimization, defect remediation, and framework migrations were time-consuming across massive, interconnected...
“I’ve loved discovering new opportunities to integrate Codex into Cisco's enterprise software lifecycle workflows. Collaborating with the OpenAI team to get Codex enterprise production ready has been rewarding as well.”
Networking, security, and IT infrastructure for enterprise digital operations.
AI research and deployment company developing generative models and tools.
Cisco's Software development automation is part of this use case:
Related implementations across industries and use cases
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
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.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Reviewers struggled to predict how code ripples through the system. AI now flags cross-service risks that cause outages.
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 workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
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.