devintern
For engineering teams: DevIntern turns rough task descriptions into merged pull requests automatically so developers skip spec-writing and review overhead.
Built by Daniil Pokrovsky · Freemium
devintern is a Instant Launch listing on Launch Llama with 2 total upvotes, founded by Daniil Pokrovsky who joined in May 2026, compared against 6 alternatives.
Instant Launch listing
Listing status
2upvotes
Community score
Daniil Pokrovsky (Joined May 2026)
Founder
Compared against 6 alternatives
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Launched on Launch Llama May 25, 2026 · #49 of 54 that day
About
DevIntern takes work from raw idea to merged pull request inside the tools your team already uses. @devintern/pm turns rough task descriptions, a paragraph of notes, a design, a bug report, into well-specced tickets your engineers can actually start from. @devintern/code picks those tickets up, implements them with your AI agent of choice, self-reviews its own diffs before a human sees them, and responds to reviewer comments on the resulting PR automatically.
The problem. AI has made writing code fast, but everything around it (drafting the spec, opening the PR, replying to review nits, keeping the tracker in sync) still takes hours. That overhead is where the productivity gains evaporate. DevIntern compresses the whole cycle so the speed your AI tooling already gives you turns into shipped tickets, not just faster keystrokes. It also opens a path for non-technical teammates (PMs, designers, founders, support) to ship real code and features end-to-end, without waiting on engineering bandwidth.
Who it's for. Engineering orgs that want their whole team to get measurably more effective without a multi-quarter platform migration. And individual contributors (engineers, PMs, founder-operators) who just want their own work to get done quicker, starting today, from their own laptop. Bring your own AI provider and keys. Runs locally for a single operator, or unattended on a server to drain the backlog 24/7. One-time perpetual licenses, not a subscription.
Use Cases
- Turning ready tickets from Jira or Linear into pull requests overnight while the team is offline
- Having a coding agent implement a backlog across several repositories with review feedback applied to the same branch
- Flagging vague specs back to the tracker with questions instead of producing a wrong pull request
Who it is for
- Engineering teams that already pay for a coding agent and want unattended implementation of tracker tickets
- Developers who want to review diffs in the morning rather than supervise agent sessions all day
- Teams that want to avoid lock-in to a single tracker, coding agent, or model provider
Pricing
Interactive use is free forever.
FAQ
Why not just give my coding agent a tracker connection myself?
You can, and it works for one ticket while you watch. DevIntern is what you build after that demo: the queue, the branch and PR and status state machine, optional auto-review, review-comment handling, rate-limit recovery, and a record of what happened to every ticket. The source is available, so compare it to your script.
Is agent-written code good enough to merge?
Sometimes no, which is why there is a feasibility gate before implementation, an optional self-review loop for the diff, and an escalation path instead of a forced merge. Your reviewers stay the final gate, exactly as they are today.
You want my tracker token and push access?
They stay on your machines. Credentials live in a local env file and each one is sent only to its own vendor's API. Optional DevIntern services receive narrow operational data, never source code, diffs, ticket bodies, review comments, or vendor credentials. See the security page for the full inventory.
Another subscription?
Interactive use is free forever, with no time limit. Unattended automation is the paid line, but try it first: sign in and start the no-card Worker Pilot for 14 days with no task limit. You can also self-build from source. The pricing page says so out loud.
What if you disappear?
The license (FSL) converts to Apache-2.0 two years after each release, the code is public, and everything runs on your infrastructure. The failure mode is "stops improving", not "stops working".
Do we have to change our workflow?
No. Same repo, same reviewers, same CI, same tracker. Pull requests arrive the way your team already reviews them, and one engineer can start alone without asking anyone.
Which trackers, agents, and models are supported?
Trackers: Jira, Linear, Trello, Asana, Azure DevOps, GitHub Issues, and plain markdown files. Coding agents: Claude Code, Codex, Cursor, and OpenCode. Models: whatever your agent supports, on your own keys.
Alternatives
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Supporters
1 founder
1 founder supported devintern on Launch Llama.