Automate with AI
Automate Sourcegraph with AI Agents.
Automate code intelligence and developer workflows with Sourcegraph and AI workers. Use Toolhouse to speed up support, engineering operations, and software delivery with less manual searching.
Top Sourcegraph automation use cases
Engineering teams often lose time digging through large codebases to answer routine internal questions. AI workers can use Sourcegraph in workflow automation to gather relevant code context, summarize findings, and support faster responses for developers, support, and product teams. This reduces interruptions and helps technical teams spend more time on delivery. It is especially useful for organizations managing multiple repositories and fast-moving releases.
When incidents happen, teams need fast access to the right code paths, owners, and recent changes. Toolhouse AI workers can use Sourcegraph to support investigation workflows by organizing relevant code context, surfacing likely areas to inspect, and preparing summaries for responders. That helps operations and engineering teams reduce time spent manually searching across repositories. Faster investigation leads to quicker resolution and less downtime.
Code review delays often come from unclear ownership and missing context, not just lack of engineering time. AI workers can use Sourcegraph to identify related files, summarize what changed, and route review support workflows to the right people. This makes developer handoffs smoother and helps teams keep releases moving. The result is better workflow automation around engineering collaboration.
Developer onboarding usually involves repeated questions about architecture, services, and where important logic lives. With Sourcegraph in the workflow, AI workers can help new team members find relevant code, understand patterns, and get answers faster without depending on constant one-on-one support. This reduces ramp time for new hires and lowers the burden on senior engineers. It is a practical way to improve engineering operations at scale.
Operations, platform, and engineering leaders need visibility into meaningful codebase changes that affect delivery and support. AI workers can use Sourcegraph to organize change-related context, route updates to the right stakeholders, and support reporting workflows tied to releases or internal systems. That helps teams monitor development activity without relying on manual status checks. Better visibility improves planning, support readiness, and cross-functional execution.
Testimonials
What our customers say
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Marcos Ocón
COO @ Develative (Developer Agency)
"We built in record time what would have taken weeks otherwise!
I can honestly say that without Toolhouse, our team would have been spending much MUCH more time delivering AI features in the products we're building"
Engineering
Andrew Njoo
Founder @ Stack2Sale
I built an agent that qualifies my leads and books calls automatically. No developer, no agency. It paid for itself in the first week.
Marketing
Kristian Freeman
Our team of 12 was drowning in repetitive tasks. We described what we needed and the agent just worked. We didn't write a single line of code.
Operations
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FAQs
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Common questions about Sourcegraph automation with AI workers.
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