For engineering managers

The small-ticket tail finally drains. Your review bar doesn't move.

DevIntern turns the tickets that never fit the sprint into reviewed pull requests, continuously, on infrastructure you already have. Same repo, same reviewers, same CI, same tracker. One engineer can pilot it free this week without asking anyone.

See team pricing Get started Free for interactive use · Team covers up to 10 developers for $99/mo
Example team profile illustrative
Engineers
12
PMs
2
Tracker
Jira (unchanged)
Coding agent
Claude Code (swappable)
AI provider
existing contract
Hosting
your infra
Workflow changes
0
same repo · reviewers · CI · tracker

PRs arrive the way your team already reviews them

Engineer to pilot
1
no rollout, no procurement

interactive use is free, no signup, no time limit

To the first PR
<1h
install to draft PR

on the tracker and repo you already use

Team, per month
$99
covers up to 10 developers

less than a single engineer-hour a month

Oversight · what you can see

Every ticket leaves a paper trail in the tools you already read.

PROJ-1842 · run history
feasibility → PR → review

Headline

Every run, on the record

No new dashboard to check. No new login to chase.

Each ticket carries its own run history: the feasibility decision, the PR link, and the review outcomes. Implementation summaries land as comments on the ticket itself, so status is where your team already looks for it.

Reviewers stay the final gate

What's recorded

  • The feasibility decision, made before any branch exists. Vague specs bounce back to the ticket with questions.
  • An implementation summary posted to the ticket as a comment, with the PR link.
  • Review outcomes on the PR itself: reviewer comments addressed on the same branch, with replies.
  • All of it in the tracker and repo your team already works in. Auditing a run is reading a ticket.
recorded per ticket · in your tracker and your repo

When you pitch this to the team

The four objections you'll hear, answered honestly.

Quality, security, disruption, vendor risk: every AI-adoption conversation lands on the same four. Here is what DevIntern actually does about each, so you don't have to hand-wave in the room.

Quality: the first human review is not the first review

A feasibility gate checks every ticket before work starts; vague specs bounce back to the tracker with questions instead of becoming a confidently wrong pull request. The agent then reviews its own diff and fixes what it finds before any human sees it. Your reviewers stay the final gate, exactly as they are today.

Feasibility gate · self-review loop · human merge.

Security: credentials never leave your machines

Tracker tokens and repo access live in a project-local env file, and each one is sent only to its own vendor's API. Nothing except license checks touches DevIntern servers. The source is available under the FSL, so your security team can read exactly what it does instead of trusting a claim.

Local credentials · source-available · self-hosted.

Disruption: zero workflow change for the team

Same repo, same reviewers, same CI, same tracker. Pull requests arrive the way your team already reviews them, and one engineer can start alone, free, without asking anyone. Nobody learns a new tool to keep doing their job.

Same repo. Same reviewers. Same CI. Same tracker.

Vendor risk: swap any piece at any time

Claude Code, Codex, Cursor, or OpenCode: the coding agent is one config line, so the org is never locked to a vendor's model rankings. Models bill on your existing provider contract. And the FSL converts each release to Apache-2.0 after two years, so the worst case is "stops improving", never "stops working".

One config line to switch agents · your model contract.

Unattended automation

The backlog keeps moving when nobody is at a desk.

The free tier is the pilot; the paid plans are the automation. Team adds unattended runs on infrastructure you already have: tickets picked up on a schedule, review comments handled by a webhook server, for nights, weekends, and the gaps between meetings.

Self-hosted, on your infra
  • Scheduled queue pickup

    Runs on a timer against any ticket filter in your tracker. Each pass checks the spec for clarity, implements the work, opens a draft PR, and updates the ticket with a summary. One bad ticket doesn't stop the rest.

    The small-ticket tail drains between sprints, not instead of them.

  • Automatic review follow-up

    When a reviewer requests changes, the agent checks out the branch, addresses the comments, and replies inline on the same PR. Nobody gets pulled off their current task to close a review loop.

    Review cycles finish without costing a senior their afternoon focus.

  • Self-review before humans

    The agent reviews its own diff and patches what it finds, iterating until clean, before the PR reaches a person. The first human review is never the first review.

    Seniors spend review time on design, not nits.

  • Feasibility gate on every pickup

    Before any branch is created, the agent decides whether the ticket is clear enough to implement. Ambiguous specs get a comment on the ticket and the run stops there.

    Bad tickets bounce back to their author before engineering time is spent.

Capabilities · what's in the box

What ships today, stated plainly.

Every tracker your teams use

Jira, Linear, Trello, Asana, Azure DevOps, GitHub Issues, or plain markdown files. Full lifecycle: status transitions on pickup and completion, and an implementation summary posted back to the ticket with the PR link.

Any coding agent, one config line

Claude Code, Codex, Cursor, or OpenCode. When a better agent ships next quarter, switching costs one line, not a workflow migration.

Your models, your keys

Whatever models your agent supports, billed on the AI contract your org already negotiated. No bundled model, no token markup, no second invoice.

Per-ticket run history

Every run records the feasibility decision, the PR link, and the review outcomes. The audit trail lives where the work does: the tracker and the repo.

Survives real life

Persistent queue, crash recovery, and provider rate-limit detection with pause and resume. The unglamorous part that kills the DIY script is built in.

Simple team pricing

Team covers up to 10 developers for $99/month; Business covers up to 30 for $299/month with priority support. No per-repo metering, no seat spreadsheets, and subscribers keep early pricing for as long as they stay subscribed.

Auditable where the work lives. Per-ticket run history, implementation summaries as tracker comments, and review outcomes on the PR. No separate console: the record is in the tracker and repo your team already reads.

Reversible at every step. The pilot is free and needs one engineer. Subscriptions carry a 30-day money-back guarantee, no questions asked. And the FSL converts each release to Apache-2.0 after two years, so the worst case is "stops improving", never "stops working".

Next action

Pilot it this week. Ask nobody.

One engineer, a handful of tickets, the free interactive tier: the first draft PR can land within the hour, and it goes through your reviewers like any other PR. If the diffs hold up, add unattended automation on Team ($99/mo for up to 10 developers) with a 30-day money-back guarantee, and early pricing locked for as long as you stay subscribed.

Pilot timeline
  1. Day 1 One engineer installs @devintern/pm and @devintern/code and picks a few small tickets. First draft PR within the hour.
  2. Days 2–3 Run the tickets end-to-end: thin specs tightened, draft PRs reviewed by your usual reviewers
  3. Week 1 Add unattended automation so the queue keeps moving overnight
  4. Week 2 Bring the paper trail to sprint review: PRs merged, tickets bounced by the feasibility gate, review outcomes

Also evaluating DevIntern for another role in your org?