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Automate Devin with AI Agents.

Automate Devin with AI workers to streamline task execution, improve engineering workflows, and reduce repetitive coordination across teams.

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Your Devin AI Worker

Devin AI Worker

Active
You: Review all open engineering tasks that have been idle for more than 3 days, summarize blocker themes, draft follow-up updates for owners, and flag anything that could delay this sprint.
Scanning open Devin tasks and recent activity...
Identifying blockers and drafting owner updates...

18 stalled tasks triaged before they slipped the sprint.

The worker grouped idle tasks by blocker type, drafted owner follow-ups, and highlighted the highest-risk items for engineering managers. This gives the team a faster pa...

18Stalled tasks flagged
14Follow-ups drafted

6 hours of manual project reviewBeforeto7 minWith Toolhouse

Use cases

Agent workflow automation with Devin

Agent workflow automation with Devin

Use case 1

Automate engineering and operational task execution

Toolhouse AI workers can use Devin to support workflows around autonomous task execution, engineering operations, and agent-led work. Workers can monitor progress, trigger follow-up actions, and reduce the manual effort required to keep execution workflows moving. This helps technical and operational teams improve responsiveness while organizing AI-driven work more effectively.

Your Devin AI Worker

Devin AI Worker

Active
You: Monitor autonomous engineering work completed this week, summarize what shipped, identify tasks that need QA or product review, and create a clean status update for leadership.
Compiling this week's Devin task outcomes...
Sorting completed work by next review step...

Weekly execution report prepared in one pass.

The worker compiled completed work, separated items ready for QA from items awaiting stakeholder review, and turned raw execution activity into a concise leadership-read...

27Completed tasks summarized
11Review-ready items flagged

4 hours of status gatheringBeforeto6 minWith Toolhouse

Use case 2

Track agent progress and follow-up workflows

Task workflows create the most value when execution progress automatically triggers the right next action. By combining Devin with Toolhouse, AI workers can support engineering follow-up, task routing, and operational coordination across projects and systems. That improves speed and helps teams operationalize AI task execution more consistently.

Your Devin AI Worker

Devin AI Worker

Active
You: Find repetitive internal engineering requests that Devin can handle, group them by workflow type, estimate the manual effort they replace, and recommend the top automation opportunities for this month.
Reviewing recurring request patterns across Devin workflows...
Estimating effort saved from repeatable task execution...

5 high-ROI automation opportunities identified.

The worker analyzed recurring request patterns and surfaced the tasks most suitable for AI-assisted execution, including the ones with the highest time savings potential...

5Automation opportunities found
96Monthly hours recoverable

2 days of manual workflow analysisBeforeto12 minWith Toolhouse

Use case 3

Support technical and product teams

Teams often lose time manually checking task status, coordinating repetitive engineering follow-up, and tracking outputs from autonomous work. AI workers can use Devin to support those recurring workflows, reduce repetitive admin, and maintain better visibility into what needs attention. This makes AI-assisted execution easier to scale across teams and use cases.

Your Devin AI Worker

Devin AI Worker

Active
You: Audit failed or incomplete Devin task runs from the last 30 days, classify the root causes, highlight repeat failure patterns, and generate an action plan to improve execution reliability.
Analyzing failed Devin runs from the last 30 days...
Clustering root causes and drafting reliability fixes...

Execution failure patterns surfaced for faster remediation.

The worker categorized incomplete runs by issue type, exposed recurring reliability gaps, and created a prioritized action plan for improvement. This gives technical tea...

42Failed runs analyzed
6Root cause clusters found

3 days of manual incident reviewBeforeto18 minWith Toolhouse

Use case 4

Reduce repetitive task admin

Organizations also benefit from stronger reporting on task throughput, workflow bottlenecks, and execution quality. Toolhouse can automate Devin-based workflows that summarize agent activity, flag issues, and support recurring automation reviews. That improves oversight without adding more manual tracking work.

Your Devin AI Worker

Devin AI Worker

Active
You: Automate Devin with AI workers to streamline task execution, improve engineering workflows, and reduce repetitive coordination across teams.
Reading workflow context...
Preparing the next best action...

Reduce repetitive task admin

Organizations also benefit from stronger reporting on task throughput, workflow bottlenecks, and execution quality. Toolhouse can automate Devin-based workflows that sum...

-Tasks handled
-Actions ready

manualBeforetominutesWith Toolhouse

Use case 5

Report AI execution trends

Leadership teams benefit from reporting on AI execution trends, workflow efficiency, and business impact. AI workers can summarize Devin activity into reports on task outcomes, operational performance, and automation value, helping teams improve agent workflows over time. Better reporting supports stronger AI strategy and smarter technical operations.

Your Devin AI Worker

Devin AI Worker

Active
You: Automate Devin with AI workers to streamline task execution, improve engineering workflows, and reduce repetitive coordination across teams.
Reading workflow context...
Preparing the next best action...

Report AI execution trends

Leadership teams benefit from reporting on AI execution trends, workflow efficiency, and business impact. AI workers can summarize Devin activity into reports on task ou...

-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

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

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

Kristian Freeman

Manager @ Large Engineering Company

InfrastructureSince 2025

Pricing

Simple, transparent pricing

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

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 →

 

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FAQ

Using Devin with AI workers

Common questions about Devin automation with AI workers.

How can Toolhouse automate Devin workflows?

Toolhouse lets you build AI workers that use Devin to automate task execution, engineering follow-up, workflow routing, and reporting across teams.

Is Devin a good fit for AI workers?

Yes. Devin is a strong fit for AI workers because execution workflows are repetitive and benefit from automated monitoring, routing, and visibility.

What teams benefit from Devin automation?

Engineering, product, operations, and internal systems teams benefit most because they can reduce repetitive task admin and manage AI execution workflows more efficiently.

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