it_support · public · workflow
Sourcegraph case studies listing: AI-assisted code search, Cody, and Batch Changes across engineering teams
Engineering teams struggle to understand, navigate, fix, and automate code changes across large multi-repository codebases spanning multiple code hosts, often relying on teammates and spending months on tasks that could take days.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Multi-repo code navigation
Engineers find and navigate code across multiple code hosts without relying on teammates.
Tools used
SourcegraphCodyBatch ChangesUniversal Code Search
Outcome
Engineering teams using Sourcegraph report measurable improvements in developer productivity, time savings, employee satisfaction, and the ability to address security vulnerabilities and large-scale code changes faster.
Results
Time saved80%
Volumemeasurable impact of developer productivity, time savings, and employee satisfaction
Grounding & classification
Source type: listicle or blog summary
24 fields verified against source quotes.
agentic workflowcode generationenterprise searchcode diff prmetric backednamed customerproduction runtime claimedtools describedworkflow describedfinancial servicessoftwarecycle time reductionemployee productivitytime savedlisticle or blog summaryit supportagentic task execution