Human in the Loop + GitHub Integrations
Put Human in the Loop + GitHub to work with AI and enterprise-grade automation
Learn more about Human in the Loop integrations or talk to a human
4.9/5 on G2·
Google for Startups Accelerator
Workflows you can build between Human in the Loop and GitHub
See the kind of workflows teams build with Human in the Loop and GitHub below — describe the exact one you want above and the Agent builds it on demand.
Human in the Loop + GitHub
When a new approval is requested in Human in the Loop, gate pull request or release approvals in GitHub.
Create developer tickets when AI model runs fail
When a model run fails in Human in the Loop, automatically create a bug issue in GitHub with error diagnostic details for quick developer review.
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Summarize complex issue reports using AI
When a new issue is captured in GitHub, pass the detailed bug report to Human in the Loop to generate a concise high-level summary.
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Extract key highlights from release deployment logs
Whenever a deployment is tracked in GitHub, pass the commit logs to Human in the Loop to extract key changes and user-facing features.
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Browse the full workflow library →
Looking to achieve something else with Human in the Loop and GitHub?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Human in the Loop and GitHub
Everything Human in the Loop and GitHub can do inside a workflow — the triggers that start one and the actions that run when it fires.
Human in the Loop Explore Human in the Loop →
An AI workflow platform that incorporates human oversight and verification into automated data processing tasks.
TriggersTriggers when a specific Human in the Loop step runs in another Zap.
Ask for additional information during the Zap run.
Ask someone to approve or change data before continuing the Zap.
GitHub Explore GitHub →
GitHub is a cloud-based platform for version control and software development collaboration using Git.
TriggersTriggers when a new branch is created.
Triggers when you add a new collaborator.
Triggers when a new comment on a commit is created.
Triggers when a new commit is created.
Triggers when anything happens on a repo.
Triggers when you add/star a gist (public or private).
Add labels to an existing issue without removing existing labels.
Creates a new comment in an Issue or Pull Request.
Creates a new branch in a GitHub repository.
Creates a new file or updates an existing file in a GitHub repository.
Deletes an unwanted branch.
Creates a new gist.
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Other Developer Tools apps on Knit
Explore more Developer Tools integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
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Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about Human in the Loop + GitHub
Is there a pre-built Human in the Loop + GitHub automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Human in the Loop and GitHub's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Human in the Loop or GitHub connector?
No. The Agent works whether or not Human in the Loop or GitHub already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
What's the most common AI Models + Developer Tools automation?
Having Human in the Loop draft a summary or description for a pull request opened in GitHub, or suggest labels for a new issue based on its content.
Does this require the AI to have write access to the repo?
Only to the specific fields it's updating (like a PR description or issue label) in GitHub — not broader repo access than the automation actually needs.