devlo

devlo is an autonomous AI coding agent and software platform that builds new full-stack apps, edits existing codebases, converts tickets into pull requests, reviews code, and reports on team productivity through GitHub, Jira, and Slack integrations.

devlo is an AI software platform built around an autonomous coding agent that works across the full development lifecycle - from turning a ticket into a tested pull request to reviewing code on every PR and answering questions about an existing codebase. It connects directly to GitHub, Jira, and Slack, so teams can assign work, trigger reviews, and get updates without switching tools or leaving the channels they already use. The platform serves two overlapping audiences. Individual builders and founders can use the Code Editor or Builder mode to spin up full-stack apps from pre-configured, production-ready templates, chatting with the AI to generate features, fix bugs, and preview live edits in the browser before pushing to GitHub. Engineering teams, meanwhile, can deploy devlo as a reviewer that comments on pull requests, a coder that converts tickets into shippable PRs, or a set of custom agents - such as a triage bot, security guard, or debug agent - built for their own workflows with configurable triggers and instructions. In practice, a team connects a GitHub repository, then either assigns issues to devlo directly through an @devloai mention or lets custom agents pick up work automatically based on triggers like a new Jira ticket, a failed GitHub check, or a set schedule. devlo posts implementation plans, opens pull requests, submits reviews, and updates labels or assignees as part of its normal output. A companion productivity dashboard gives engineering leaders visibility into cycle time, code quality, and how much of the team's shipped work is AI-generated, which is aimed at demonstrating the tool's return on investment rather than adopting it on faith alone. devlo sits at the intersection of AI pair-programming assistants and engineering-productivity analytics. Compared with code-completion tools that live only inside an IDE, it positions itself as a more autonomous teammate that operates across the whole ticket-to-deployment cycle and reports on its own impact. It is best suited to teams already organized around GitHub and Jira who want to offload routine coding and review work, as well as non-engineering roles who need to produce working prototypes without waiting on a developer.