Choji provides an autonomous chain of AI agents that turn customer requests, support tickets, or backlog items into fully implemented, draft pull requests ready for review. By integrating with tools like Jira, GitHub, Linear, and Intercom, it extracts context, creates execution‑ready tickets, writes the code, and opens PRs, allowing engineers to stay focused on higher‑value work while low‑tier issues are resolved automatically.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering teams spend significant time on low‑tier tickets such as small bug fixes, configuration changes, or simple feature tweaks, which distract developers from higher‑impact work. Customer support and product groups often have backlogs of requests in tools like Jira, GitHub, Linear, or Slack that remain unaddressed due to manual triage and implementation effort.
Solution
Choji provides an autonomous chain of AI agents that ingests customer requests from existing issue‑tracking and communication platforms, enriches them with relevant context, and creates execution‑ready tickets. A coding agent then implements the scoped change and opens a draft pull request in the target repository, completing the workflow from request to merge without manual developer intervention. By handling the entire low‑tier work pipeline, Choji reduces context‑switching for engineers, accelerates delivery of fixes, and improves customer satisfaction. The system integrates with the tools teams already use, maintaining existing workflows while automating repetitive tasks.
Target Audience
Primary users are software engineering teams and product development groups that manage backlogs in Jira, GitHub, Linear, or similar tools and need to automate low‑complexity tickets.
Features
- Context Agent that extracts highlights, screenshots, and discussion threads from Jira, GitHub, Linear, Slack, Intercom, Asana, Notion, Airtable, and Gmail
- Ticket Agent that transforms vague asks into clear, actionable tickets enriched with project‑specific knowledge and business context
- Coding Agent that generates code changes, runs tests, and creates a draft pull request in the connected repository
- Review and Reinforcement agents that ensure code quality and compliance before the PR is presented to engineers
- Native integrations with major issue‑tracking and version‑control systems for seamless plug‑and‑play deployment
- Privacy‑by‑design data handling that limits access to only the repositories and channels explicitly connected by the user