DevIntern streamlines the journey from a raw concept to a consolidated pull request using the tools your team is familiar with. With @devintern/pm, vague task outlines, brief notes, design sketches, and bug reports are transformed into detailed tickets that engineers can readily work on. Meanwhile, @devintern/code takes these tickets, implements them utilizing your preferred AI agent, conducts self-reviews of code changes before any human involvement, and automatically addresses reviewer feedback on the resulting pull request.
The challenge lies in the fact that while AI has accelerated the coding process, all associated tasks—like drafting specifications, initiating pull requests, addressing review comments, and maintaining synchronization with project trackers—remain time-consuming and can consume hours. This additional burden is where potential productivity improvements diminish. DevIntern efficiently streamlines the entire process, ensuring that the rapid output from your AI tools translates into successfully shipped tickets rather than merely quicker typing. Furthermore, this approach empowers non-technical team members—such as project managers, designers, founders, and support staff—to contribute to shipping actual code and features from start to finish, eliminating delays caused by dependency on engineering resources. Ultimately, this fosters a more collaborative environment where everyone can participate in the development process.