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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.

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Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

You: A customer reported that SSO login started failing after yesterday’s deploy. Find the services, recent commits, and likely code paths involved, then draft a concise incident summary for the on-call engineer.

Scanning auth services and recent commits...

Mapping likely failure paths across repositories...

Incident triage prepared 68% faster.

The worker assembled the most relevant code areas, highlighted recent authentication-related changes, and produced a handoff summary the on-call engineer can use immedia...

9Repos analyzed

41Minutes saved per incident

90 minBeforeto7 minWith Toolhouse

Use cases

Top Sourcegraph automation use cases

Use case 1

Answer engineering questions faster

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.

Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

You: Answer this internal product question for support: where is usage-based billing calculated, what feature flags affect invoice generation, and which team owns that code?

Searching billing logic across connected codebases...

Summarizing ownership and dependency signals...

Developer interruptions cut by 54%.

The worker turned a multi-repo search task into a support-ready answer with code context, ownership clues, and a clear explanation of where billing logic lives. That mea...

23Questions resolved

6Engineers interrupted

manual searchingBeforeto6 minWith Toolhouse

Use case 2

Automate incident investigation support

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.

Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

You: We have 14 pull requests waiting on review. Group them by likely reviewer, summarize what changed, flag risky infrastructure or auth updates, and draft reviewer handoff notes.

Analyzing pull request scope and file ownership...

Prioritizing risky changes for faster review...

Code review backlog reduced by 37%.

The worker organized pending reviews by ownership patterns, summarized the scope of each change, and highlighted higher-risk updates that deserve faster attention. This...

14PRs triaged

4Risky changes flagged

4 hoursBeforeto11 minWith Toolhouse

Use case 3

Speed up code review handoffs

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.

Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

You: Create a new-hire onboarding guide for our payments platform. Show the core services, key repositories, common data flows, and the best files to read first for a backend engineer in week one.

Tracing services, dependencies, and entry points...

Organizing architecture context for new engineers...

New developer ramp time reduced by 32%.

The worker converted scattered codebase knowledge into an onboarding guide with recommended reading order, architectural context, and practical starting points. New hire...

11Repos mapped

26Onboarding hours saved

2 daysBeforeto18 minWith Toolhouse

Use case 4

Improve onboarding for developers

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.

Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

You: 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.

Reading workflow context...

Preparing the next best action...

Improve onboarding for developers

Developer onboarding usually involves repeated questions about architecture, services, and where important logic lives. With Sourcegraph in the workflow, AI workers can...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Monitor codebase changes for operations

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.

Your Sourcegraph AI Worker

Sourcegraph AI Worker

Active

Reading workflow context...

Preparing the next best action...

Monitor codebase changes for operations

Operations, platform, and engineering leaders need visibility into meaningful codebase changes that affect delivery and support. AI workers can use Sourcegraph to organi...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

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“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.”

Marcos Ocón

COO @ Develative (Developer Agency)

EngineeringSince 2025

“I built an agent that qualifies my leads and books calls automatically. No developer, no agency. It paid for itself in the first week.”

Andrew Njoo

Founder @ Stack2Sale

MarketingSince 2025

“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.”

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

Start free, scale as you grow. No hidden fees, no surprises.

Business

$500/month

Includes FREE unlimited tokens

Credits / month25,000
Workers50
Log retention30 days
Worker email inboxIncluded
OnboardingIncluded
Organizations—
Account engineer—
SupportSlack, Email

Start now →

No credit card needed

For scaling businesses

Business Max

$1,200/month

Includes FREE unlimited tokens

Credits / month80,000
Workers500
Log retention1 year
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerOn demand
SupportPriority (Slack, Email, Phone)

Start now →

No credit card needed

For larger companies

Enterprise

Custom

For scaling needs

Credits / monthVolume pricing
WorkersUnlimited
Log retentionCustom
Worker email inboxIncluded
OnboardingIncluded
OrganizationsIncluded
Account engineerNamed
SupportCustom

Talk to sales →

14-day free trial on all plans · cancel anytime

FAQ

Using Sourcegraph with AI workers

Common questions about Sourcegraph automation with AI workers.

How can Toolhouse automate Sourcegraph workflows?

Toolhouse lets you build AI workers that use Sourcegraph to automate developer support, incident investigation, onboarding, code review coordination, and reporting workflows. This helps teams reduce manual searching and move faster across engineering operations.

What business teams benefit from Sourcegraph automation?

Engineering, platform, support, and operations teams benefit most because they can use Sourcegraph in workflow automation to answer code-related questions faster, improve handoffs, and support software delivery with less manual effort.

Is Sourcegraph useful for AI-driven engineering operations?

Yes. Sourcegraph is a strong fit for AI-driven engineering operations because it helps workers find and organize code context quickly, making high-value workflows like investigation, onboarding, and internal support more efficient.

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