AI-native engineers who move faster than your roadmap.
You get engineers who don't write code line by line anymore. They orchestrate it with Cursor, Claude Code, and 6 other agentic tools your team probably hasn't trained on yet.
The result: you ship 3.4x more PRs per engineer than industry baseline.
200+ startups used botmer.io to scale their engineering capacity
Average client: ships their next product milestone 2.7x faster than their previous engineering velocity.
What "AI-native" actually means at Botmer
Because every agency is claiming it, and 99% are lying.
An AI-native engineer is not "an engineer who uses ChatGPT." An AI-native engineer is someone whose workflow is structurally different.
Write code line-by-line in VS Code
Direct Cursor with Claude inline + autonomous PR review
Spec → ticket → code → PR → review → merge (4 days)
Spec → Linear MCP → Claude Code agent → human approval (4 hours)
Debug by reading stack traces
Pipe stack traces into Claude with full repo context
Write tests after the code works
Generate tests in parallel with the feature, sandbox-validate before merge
1 PR per engineer per day (industry median)
4 to 6 PRs per engineer per day
Onboarding takes 4 to 6 weeks
Day 1: shipping in your repo. Day 3: own a feature end-to-end.
Every Botmer engineer ships with this stack on day one:
Generate your team plan in 30 seconds
Tell us what you're building. We'll draft the exact engineering team you need, roles, stack, headcount, estimated ship date. No call required.
100% confidential. Email only used to send you the plan.
Your AI-generated team plan will appear here
AI-native engineers you can hire this week
Not resumes. Last 30 days of actual output.
Which AI-native engineers do you need?
Every role below ships with Cursor, Claude Code, and the full agentic stack from day one. Pick the role, hire from the bench.
Full-Stack Engineers
React, Node, TypeScript. Production-grade code in your repo by day 3.
Default workflow: Cursor, Claude Code, Linear MCP, GitHub Copilot Workspace, and v0 for UI scaffolds.
Average output: 38 to 45 PRs per engineer per month. Industry median is 11.
Mobile App Engineers
iOS, Android, React Native, Flutter. Figma to App Store in 8 weeks.
Ship with Cursor and Claude Code, automated Fastlane pipelines, and AI-generated UI scaffolds via v0.
Average output: 38 to 45 PRs per engineer per month on mobile apps.
AI Engineers
Production RAG, agents, evals, fine-tunes. Not demos.
Engineers who have shipped LLM features in production with evals, observability, and prompt versioning baked in.
Average build time: full agent eval stack in 2 weeks. Industry baseline: 4 months.
DevOps Engineers
Infrastructure that ships. CI in minutes, not hours. 99.99% uptime.
Cursor and Claude Code for IaC, Datadog MCP for incident response, autonomous pipeline builds.
Real example: CI runtime cut from 23 minutes to 4 minutes in a single sprint at DataFlow.
Not sure which role? Describe what you are building in the team builder above, or book a 30-min scoping call and we will tell you who you need.
From signed contract to first merged PR: 72 hours.
Compare to in-house hiring: 9 to 14 weeks.
Discovery Call
30 minutes. We learn your stack, your codebase shape, your shipping bottleneck. You ask the hard questions.
Engineer Match
We send you 2 to 3 pre-vetted candidates whose last 30-day commit history matches your stack. Not resumes, commit logs.
You Interview
45-minute interview each, including a live coding session in your repo (NDA signed first). You see them ship before you pay.
First PR Merged
By Day 3 the engineer you picked has a PR in your main branch. Not a sandbox. Your repo.
In-house hiring: 4 to 8 weeks sourcing + 3 interview loops + 2 weeks notice + 4 weeks onboarding = 9 to 14 weeks. We do it in 3 days.
What "fast" actually looks like
Real teams. Real timelines. Real ship data.
Portl
AI-powered content distribution platform
Ship a multi-tenant AI content distribution engine in 10 weeks. Founder had a $400K seed and no eng team.
1 architect + 2 engineers + 1 designer, 100% Botmer.
Production launch in 9.5 weeks. 22 paying customers in month 1. $11M Series A 7 months later, citing engineering velocity in diligence.
SocialTip
Creator tipping platform
Replace an in-house team 8 months behind roadmap. Couldn't fire politely. Needed a parallel build.
3 Botmer engineers running a shadow build.
Shadow build ready in 11 weeks. Old version killed. Now at 50k MAU on a 2-engineer steady-state team.
What Botmer does in 60 seconds
A quick look at who we are, what we build, and why founders hire our AI-native engineers instead of going in-house.
Why founders pick Botmer over Toptal, Turing, or in-house hiring
Built specifically for founders who measured their last team and weren't happy with the answer.
Live ship log
Every PR our engineers merge across client repos. Updated continuously. (Client names anonymized to "Client A, B, C…")
This is what 40 engineers shipping with the agentic stack looks like.
Pick your commitment level
Four ways to start with Botmer, from zero commitment to a paid trial. Pick what fits.
See what your team actually costs
30-second calculator. Shows fully-loaded cost per shipped PR vs the Botmer rate. No email required.
Open the calculatorSee our last 90 days of ship activity
Public log of every feature, PR count, and ship date across all client repos (anonymized).
Open the ship logGet a free velocity audit on your codebase
Drop your repo link. We'll send a 5-min Loom analyzing where your team is losing days to slow tooling. No call required.
Send me the audit30-min scoping call
We'll tell you which engagement model fits, or tell you we're not a fit. Half of these calls end with us recommending you don't hire us yet.
2-week paid trial, $4,500
One engineer. Two weeks. In your repo. If they don't out-ship your slowest in-house engineer by 2x, you don't pay.