Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
A developer of secure open source software manages large internal codebases and a constant influx of upstream package updates requiring rigorous engineering review at every step.
Engineering tasks require deep context from multiple repositories, but standard AI tools lost memory during complex workflows spanning brainstorming...
“Like most real engineering problems, our use cases require a lot of context from various upstream sources and across multiple internal repositories. Specifically at Chainguard, where we juggle both our internal codebases and an ever-growing chunk of the open source ecosystem.”
Secure software supply chain platform and zero-CVE container images.
AI software development agents for automating engineering workflows.
Chainguard's Software engineering automation is part of this use case:
Related implementations across industries and use cases
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
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.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
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.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
A developer of secure open source software manages large internal codebases and a constant influx of upstream package updates requiring rigorous engineering review at every step.
Engineering tasks require deep context from multiple repositories, but standard AI tools lost memory during complex workflows spanning brainstorming...
“Like most real engineering problems, our use cases require a lot of context from various upstream sources and across multiple internal repositories. Specifically at Chainguard, where we juggle both our internal codebases and an ever-growing chunk of the open source ecosystem.”
Secure software supply chain platform and zero-CVE container images.
AI software development agents for automating engineering workflows.
Chainguard's Software engineering automation is part of this use case:
Related implementations across industries and use cases
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
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.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
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.
Debugging scattered across individual notebooks meant week-long fixes. One shared platform now catches errors before customers do.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.