An agentic member of your dev team.
Offload routine Jira tasks to @devintern and turn raw input into well-specified work with /code@devintern. DevIntern handles the cycle from spec to pull request, so your team spends its time on the decisions that actually require judgment.
/pm
How it works
The Agentic Pipeline
DevIntern compresses the whole cycle into two phases. In planning, @devintern turns raw input — Figma frames, log dumps, prompts — into a structured backlog of well-specified tasks with the context engineers actually need. In execution, /pm@devintern works that backlog in parallel, opens pull requests, and self-reviews its own diffs before handing them off. Your review comments land as fixes on the same PR; if the spec was off, the task loops back through planning for a re-implementation. The human stays in the loop — but only at the decisions that matter.
/code
What going AI-native is actually worth
You write code fast with AI. Everything around it still takes hours.
Understanding the task, investigating issues, finding the right place in the codebase to make the change, gathering context across tools, drafting the spec at the start and the writeup at the end — that's where the day goes. DevIntern compresses the whole cycle from spec to implementation to review, so the speed your AI tooling already gives you turns into shipped tickets.
recovered / week
on a 12-eng + 2-PM team
median ticket
→ draft PR
tools migrated
or replaced
backlog drainage
with server addon
Spec drafting collapses from hours to minutes — in the tracker your team already lives in.
Tickets arrive as PRs in your repo, with your usual reviewers. You're reviewing implementation work, not writing every line of it.
More work moves through every sprint. Routine PRs get drafted by the agent; engineers spend their time on review and the parts that actually need them.
The whole org becomes AI-native through one activation layer — without a multi-quarter platform migration.
Advising or assessing an engineering org? See DevIntern for consultants →
The line items behind the math
Time saved per task × throughput per week
= hours that come back.
We don't claim vague "productivity gains." Below, for each tool: the activities it absorbs, the time it saves per occurrence, and how often that occurrence happens in a typical week. Multiply through — that's the per-tool weekly recovery.
From a rough idea to a detailed, codebase-grounded ticket.
Each spec or triage that used to take a focused block of PM time now takes seconds. Here's what gets absorbed, and what a week looks like.
Typical PM throughput / week
= ~10h 50min / PM / week
per PM, per week
From a ticket key to a draft PR with tests passing.
Each PR an engineer would have hand-written from scratch arrives as a draft. Here's what gets absorbed per PR, and what a week of throughput looks like.
Typical engineer throughput / week
= ~16h / engineer / week
per engineer, per week
Cost savings, in US dollars
Priced against US median engineering comp.
Each scenario includes a server automation addon — the most efficient way to capture value, because it runs the suite unattended 24/7 instead of on-demand. Translated into fully-loaded US salary rates, the recovered value clears DevIntern's cost by two orders of magnitude in Year 1 alone — and licenses are one-time, perpetual, so every year after is pure recovered value.
Small team
5 engineers · 1 PM
recovered per year
- Engineer hours / week
- 80h
- PM hours / week
- 10h
- Blended rate
- $100/hr
- 5 × code @ $179
- $895
- 1 × pm @ $79
- $79
- + Server addon Basic
- $1,200
- Total (one-time)
- ~$2,174
- Year-1 return
- ~207×
Mid-size team
12 engineers · 2 PMs
recovered per year
- Engineer hours / week
- 192h
- PM hours / week
- 20h
- Blended rate
- $100/hr
- 12 × code @ $169 (11+ tier)
- $2,028
- 2 × pm @ $79
- $158
- + Server addon Basic
- $1,200
- Total (one-time)
- ~$3,386
- Year-1 return
- ~313×
Engineering org
80 engineers · 8 PMs
recovered per year
- Engineer hours / week
- 1,280h
- PM hours / week
- 80h
- Blended rate
- $100/hr
- 80 × code @ $149 (51+ tier)
- $11,920
- 8 × pm @ $79
- $632
- + Server addon Advanced
- $5,900
- Total (one-time)
- ~$18,452
- Year-1 return
- ~368×
Roll it out across engineering and product
For an eng org that wants AI in every step of the dev loop without a multi-quarter platform migration. The server addon picks up tickets the moment they're filed and pushes draft PRs back to your repo around the clock — in the tools your team already lives in.
- Server addon runs unattended on whatever you already have — a server, a free devbox, a spare VM — scheduled ticket pickup (cron / systemd) plus webhook-driven PR-review handling, around the clock
- Volume-discounted seats from 5 to 100+, mixed across PM and engineering
- Drops into Jira, GitHub, Bitbucket — no rip-and-replace, reviewers and workflows stay the same
- Bring your own AI provider & keys — usage and audit stay under your contract
- Seats are perpetual licenses, not subscriptions — pay once per seat, no annual renewal
Try it from your laptop first
For a single engineer or PM who wants to start now, no IT ticket required. Install both tools locally, point them at the tracker and repo you already use, and ship your first AI-drafted PR before lunch. This is also how most teams find us — one operator validates it, then their org buys seats.
- Runs on your machine — no infra, no admin approval, no rollout window
- Plugs into Jira, Linear, Trello, Asana, Azure DevOps, GitHub Issues — alongside your existing repo
- Bring your own AI agent & keys — drive it with whatever you already use
- One-time perpetual license — buy once, yours forever, no subscription
- 14-day free trial — first AI-drafted PR can land today
Put an AI intern on your team this week.
Sign up to claim your early-access spot. Wire @devintern and /pm@devintern into the tracker and repo you already use — your first AI-drafted PR can land before lunch.
/code
14-day free trial available. No credit card required.