AI integration landing page

Automate Github with AI Agents.

Automate software delivery and developer operations with GitHub and AI workers. Use Toolhouse to streamline pull requests, issue triage, release workflows, and engineering reporting.

Try for free Read docs

7-day free trial | Cancel anytime

Your GitHub AI Worker

GitHub AI Worker

Active

You: Review all new issues opened this week across our product repos, label bugs vs feature requests, detect duplicates, assign likely owners by past activity, and draft a priority summary for the engineering manag...

Scanning new GitHub issues across active repositories...

Classifying issue types and matching likely code owners...

47 incoming issues triaged and routed automatically.

The worker grouped similar reports, flagged likely duplicates, assigned owners based on repo history, and created a clean priority summary so the engineering manager can...

47Issues triaged

11Duplicate reports flagged

6 hours of manual triageBeforeto9 minWith Toolhouse

Use cases

Top GitHub automation use cases

Use case 1

Triage issues automatically

Engineering teams often lose time sorting bug reports, feature requests, and internal tickets before real work even begins. Toolhouse AI workers can use GitHub to classify incoming issues, summarize the request, assign ownership, and route the next step automatically. That helps teams reduce manual triage work and respond faster to important development tasks. Better issue handling also improves workflow automation across product, support, and engineering.

Your GitHub AI Worker

GitHub AI Worker

Active

You: Summarize every open pull request waiting more than 24 hours, identify missing reviewers, surface merge blockers, and draft follow-up messages so we can reduce review lag before the next release.

Checking pull request status, reviewer activity, and wait times...

Summarizing code changes and detecting approval bottlenecks...

Review backlog cut with 19 stalled pull requests surfaced.

The worker summarized code changes, highlighted dependency and test blockers, identified the right reviewers, and prepared follow-up prompts to unblock approvals faster....

19Stalled PRs identified

34Review hours reduced

2 days of manual follow-upBeforeto12 minWith Toolhouse

Use case 2

Speed up pull request reviews

Pull request review is a critical workflow, but repetitive coordination slows down software delivery. AI workers can use GitHub to summarize code changes, flag missing context, notify the right reviewers, and follow up when reviews stall. This keeps development moving without relying on manual reminders in chat or email. Faster review cycles help teams improve productivity and ship updates with less operational friction.

Your GitHub AI Worker

GitHub AI Worker

Active

You: Prepare our Friday release by checking merged PRs tagged for this sprint, compiling a release checklist, listing unresolved blockers, and drafting stakeholder updates for product, QA, and support.

Compiling merged changes and open release tasks...

Analyzing blockers and drafting launch communications...

Release prep completed with 8 blockers surfaced early.

The worker assembled release-ready changes, highlighted unresolved risks, organized launch tasks by team, and drafted stakeholder updates so product, QA, and support can...

26Release tasks organized

8Blockers found early

1 full day of cross-team coordinationBeforeto18 minWith Toolhouse

Use case 3

Coordinate release workflows

Releases often depend on many small steps across engineering, QA, and operations. With GitHub in the workflow, AI workers can track merge status, organize release checklists, trigger stakeholder updates, and surface blockers before launch dates slip. This creates a more reliable workflow automation layer around software delivery. Teams gain better visibility and fewer last-minute surprises during release management.

Your GitHub AI Worker

GitHub AI Worker

Active

You: Create a weekly engineering operations report from GitHub activity: open vs closed issues, PR cycle time, top repos by activity, unresolved bugs older than 30 days, and a short manager-ready summary.

Aggregating issue, pull request, and repository activity...

Calculating delivery trends and drafting leadership summary...

Weekly engineering report generated from live repo activity.

The worker turned repo activity into a concise management report with trend highlights, aging bug visibility, and cycle-time insights. Engineering leaders get a clearer...

14Repos analyzed

23Aging bugs surfaced

4 hours of manual reportingBeforeto7 minWith Toolhouse

Use case 4

Monitor engineering activity

Leaders need a clear view of repo activity, open work, review bottlenecks, and delivery trends. Toolhouse AI workers can turn GitHub activity into concise reporting for engineering managers and operations leaders, without manual status gathering. That makes it easier to monitor team output, spot delays, and improve planning. Better reporting supports higher-performing developer operations.

Your Github AI Worker

Github AI Worker

Active

You: Automate software delivery and developer operations with GitHub and AI workers. Use Toolhouse to streamline pull requests, issue triage, release workflows, and engineering reporting.

Reading workflow context...

Preparing the next best action...

Monitor engineering activity

Leaders need a clear view of repo activity, open work, review bottlenecks, and delivery trends. Toolhouse AI workers can turn GitHub activity into concise reporting for...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Automate developer support follow-up

Developer support requests often span bugs, documentation questions, access issues, and follow-up tasks. AI workers can use GitHub to connect support conversations to issues, track resolution progress, and keep stakeholders updated automatically. This reduces context switching for technical teams and improves customer service for internal and external users. It is a practical way to automate repetitive support and operations work around software projects.

Your Github AI Worker

Github AI Worker

Active

You: Automate software delivery and developer operations with GitHub and AI workers. Use Toolhouse to streamline pull requests, issue triage, release workflows, and engineering reporting.

Reading workflow context...

Preparing the next best action...

Automate developer support follow-up

Developer support requests often span bugs, documentation questions, access issues, and follow-up tasks. AI workers can use GitHub to connect support conversations to is...

-Tasks handled

-Actions ready

manualBeforetominutesWith Toolhouse

Testimonials

What our customers say

1,000,000+ agents· 15,000+ teams· 1,000+ integrations· Start for free

“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 Github with AI workers

Common questions about GitHub automation with AI workers.

How can Toolhouse automate GitHub workflows?

Toolhouse lets you build AI workers that use GitHub to automate issue triage, pull request coordination, release workflows, engineering reporting, and developer support follow-up. This helps teams reduce manual work and keep software delivery moving.

Is GitHub a good fit for AI workers?

Yes. GitHub is a strong fit for AI workers because engineering teams rely on repeatable workflows like reviews, issue management, release coordination, and status reporting that benefit from automation.

What teams benefit most from GitHub automation?

Engineering, product, support, and operations teams benefit most because they can use GitHub automation to improve developer productivity, reduce repetitive coordination, and create more reliable business workflows.

Build this integration workflow in minutes

Turn your best documented process into a repeatable AI worker job.

Try for free Read docs