Pebble is an automated support platform that diagnoses and resolves customer-reported issues across code, documentation, and data without requiring manual intervention from engineering teams. It integrates with existing diagnostic tools to apply fixes instantly, transforming support from triage to resolution. This automation ensures rapid customer satisfaction while eliminating support backlog for internal teams.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams spend significant time manually triaging and fixing bugs that are escalated from support channels, leading to delayed releases and reduced productivity. The process often requires writing new code, creating tests, and coordinating across multiple tooling ecosystems, which can be error‑prone and resource‑intensive.
Solution
Pebble deploys AI‑driven agents that ingest support tickets, analyze the reported issue, and automatically generate a production‑ready pull request. The system writes the necessary code changes, creates accompanying unit and integration tests, and validates the fix against the existing codebase. Integration hooks with ticketing (Jira, Linear), chat (Intercom), and version‑control platforms (GitHub) provide full context, while a human‑in‑the‑loop approval step ensures that only vetted changes are merged. This workflow reduces manual effort, accelerates bug resolution, and maintains code quality without requiring engineers to switch contexts.
Target Audience
Pebble is aimed at software development and support teams in SaaS and enterprise product companies that need to streamline bug resolution from customer‑facing channels. It is particularly useful for engineering managers and DevOps engineers responsible for maintaining high‑velocity release pipelines.
Features
- AI‑powered bug triage that parses support tickets and extracts reproducible defect specifications.
- Automated code generation and patch creation that produce a GitHub pull request targeting the affected repository.
- Test synthesis engine that writes unit and integration tests to verify the fix before submission.
- Seamless bi‑directional integration with Jira, Linear, Intercom, and GitHub for context sharing and status synchronization.
- Human‑in‑the‑loop approval workflow that requires an engineer to review and merge the PR, preserving governance.
- Secure, sandboxed execution environment with end‑to‑end encryption of ticket data and generated code.
- Rapid deployment via a minutes‑long installer and auto‑scaling infrastructure that handles variable bug volumes.