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Customer-driven issues that link feedback to code

Developers work in GitHub. Customer feedback lives everywhere else. ClosedLoop AI bridges that gap by creating GitHub issues directly from customer intelligence, so the people writing code see exactly who needs what and why -- without leaving the platform where they ship.

Read-only to start. Recent history backfilled on day one.

The integration GitHub Product & Development Tools
DirectionGitHub → ClosedLoop AI
AccessRead-only
Backfill12 months, day one
SyncContinuous
StatusActive

What you get

What GitHub can tell your product team.

ClosedLoop AI reads your GitHub data and turns it into product insight you can act on. No one has to review it, and nothing gets lost.

01

Customer-Linked Issues

ClosedLoop AI creates GitHub issues that connect code work to customer outcomes. Each issue includes which accounts raised the need, what they described in their own words, and the business context behind the request. Engineers see the human impact of every line they write.

02

Feedback-to-Code Traceability

When a pull request closes a customer-driven issue, the link between feedback and code is preserved. Teams can trace any shipped feature back to the customer conversations that inspired it, creating accountability and measurable product impact.

03

Repository-Aware Routing

ClosedLoop AI routes customer insights to the right repository and labels them appropriately. API feedback goes to the API repo. UI complaints land in the frontend repo. Integration requests appear in the platform repo. Each team sees only the customer insights relevant to their codebase.

04

Open Source Community Intelligence

For teams with public repositories, ClosedLoop AI distinguishes between internal customer feedback and community requests, ensuring that paying customer needs are tracked alongside open-source contributions without mixing the two priorities.

Who you'll hear from

The voices on GitHub.

The customer profiles that show up on this channel, and the intelligence each one reveals.

Profile

Engineering Teams

Developers picking up issues see the customer context behind their work. Knowing that 12 enterprise accounts are blocked on a missing API endpoint changes how engineers approach the implementation, from abstract ticket to concrete user problem.

Profile

Product Managers

PMs triaging GitHub issues see customer evidence automatically attached, making prioritization decisions faster and more defensible. The backlog reflects real demand, not just internal feature wishlists.

Profile

DevOps and Platform Teams

Platform engineers see customer-reported infrastructure pain points -- reliability issues, performance complaints, and integration gaps -- delivered as actionable issues in the repositories they own.

Profile

Engineering Leadership

VPs of Engineering and CTOs tracking milestone progress see which customer-driven issues shipped, how they map to retention and revenue, and where customer demand outpaces engineering capacity.

How the data flows

What GitHub holds becomes what your roadmap reads.

ClosedLoop AI reads from GitHub and turns each part into something your product team can act on.

Conversations, records, and messages Product insights in the customer's own words
Who said it, and their role The customer and the role behind each insight
Account and deal context The revenue weight behind every request
When it happened How a theme moves over time
What came up Competitor mentions and churn risk, caught early

Read-only to start. No tagging, no manual review.

What changes

What changes when you connect GitHub.

01

Automate GitHub issue creation from customer feedback so engineering sees real user needs in their daily workflow

02

Trace shipped features back to the customer conversations that inspired them

03

Route customer insights to the correct repository and team automatically

04

Enrich existing open issues with new customer evidence as it arrives

05

Prioritize engineering work based on aggregated customer demand, not isolated requests

06

Connect code changes to customer outcomes for measurable product impact

Setup

Connected in minutes, useful on day one.

Connect GitHub

Authorize in one click. Read-only to start, nothing to install.

Backfill

ClosedLoop AI reads your recent history straight away, so you start with insights, not an empty screen.

Insights land

Requests, competitor mentions, and risks arrive grouped and ranked. No tags to maintain.

Act anywhere

Read them in the dashboard, get them in Slack, or query them from your AI assistant over the MCP.

Read what your customers already told you on GitHub.

Connect in minutes and start surfacing product insights from your GitHub data.

No credit card. Read-only to start.