Hire agentic engineers.
In 48 hours.
Senior freelance engineers who already run Claude Code and Codex in production, embedded in your team. They ship real tickets, and your engineers pick up the method on the job.
- 1,500+ vetted engineers in the network
- First PR on day one
- No fit, no invoice
Your team won’t learn agents in a workshop. They learn them in review.
The skill gap does not run between junior and senior. It runs between engineers who made the leap to Claude Code and Codex and engineers who have not had the chance yet. Workshops don't close it. Working next to someone who has does.
So we bring in one senior engineer who already works this way and carries real tickets from day one. Same repo, same sprint board, same standups. The method transfers in daily work: in PRs, in pairing, in review. A senior with a firm delivery commitment, not a coach with a slide deck.
When one engineer ships a multiple of the team’s pace in your own codebase, under your own constraints, two questions follow. “How do you do that?” spreads the method. “Would this even work here?” stops being asked. The proof is sitting in your repo.
What you get.
A senior freelance engineer inside your team, the agentic setup around them, and your own people carrying it on after the handover. Flexible like a freelancer, committed like a hire.
A senior freelance engineer, embedded
A freelancer, not a hire: no headcount, no severance, cancellable at any time. A firm delivery commitment. Every candidate pre-qualified before you see the profile.
The agentic setup, stood up in your repo
Agents, skills, MCP servers, guardrails, CI that keeps up. The setup that costs a first-timer weeks, done by someone who has built it before.
Your team, upskilled on the job
Your engineers absorb the workflow by shipping next to it every day. An internal AI champion is trained to carry it on without us.
Terms you can read in one sitting
One all-in hourly rate, agreed before start. Sourcing, contract, invoicing and compliance stay with us. Start on the date you pick, scope and duration agreed up front.
You talk to Ralf directly.
Ten years a tech freelancer himself, then over 1,000 tech positions filled. He knows both sides of the table and which engineer fits which team.
Candidates in 48 hours. First PR on day one.
- Day 0
You brief us
Thirty minutes with Ralf. Your stack, your team, the role you need. A straight no if we can't fill it.
- Within 48 hours
You meet pre-vetted candidates
Hand-picked from the network, already vetted, matched to your stack. You run a personal fit interview if you want one.
- Day one on the job
The first PR ships
Your engineer starts on the date you pick and ships a real ticket on day one. In your repo, in your standups, not ramping up for a month.
Hire, marketplace, or agency? The honest comparison.
There are three other ways to get this done. Here they are, side by side, the way we would lay it out on a call.
- Time to a candidateVetted profiles in 48 hours
- VettingTech interview, references, live in the harness
- Agentic depthRuns Claude Code and Codex in production today
- Team effectYour team levels up next to them
- If it doesn't fitNo invoice. We present the next profile.
- Time to a candidateMonths, plus ramp-up
- VettingYour funnel, your risk
- Agentic depthA coin flip. The field is barely 18 months old.
- Team effectOne hire, slow diffusion
- If it doesn't fitProbation drama and a restart
- Time to a candidateDays to a stack of CVs
- VettingProfile screening and star ratings
- Agentic depthThe word 'AI' on the profile
- Team effectA contractor in a corner
- If it doesn't fitYour screening time was the cost
- Time to a candidateWeeks, and whoever is free
- VettingAvailability, not selection
- Agentic depthA workshop certificate, maybe
- Team effectCapacity, not capability
- If it doesn't fitChange-request paperwork
What clients say.
Working with Ralf helped us uncover untapped AI potential within our product and tech teams. Despite being advanced in our automation journey, his insights drove new levels of efficiency that paid back the full engagement cost within just a month.
The program's structure perfectly suited our agile way of working. We were able to set concrete goals, work iteratively, and continuously measure progress. What I found particularly valuable was the individual support of our AI Champion, specifically trained to share knowledge within the team and act as an internal expert.
The seamless integration of AI tools into our standard processes was one of our strategic priorities for Q1 2025. Ralf's approach gave us the necessary kickstart. With 40 minutes saved per developer daily, we're already seeing a multiple return on our investment.
The risk sits with us.
You interview before you commit
Every profile comes pre-vetted, and you still run your own fit interview. Nobody joins your team on our word alone.
No fit, no invoice
If no candidate convinces you, the search cost you nothing. We carry the sourcing risk, not you.
Delivery from day one
Your engineer ships a real ticket on the first day, in your repo. You see value before the first invoice, not after the third.
Exit is in the contract
Handover to an internal champion is planned from day one. When the engineer steps out, your team keeps shipping.
Worst case: a 30-minute briefing that saved you a bad hire.
Request an agentic engineerWhy nobody on your team has done this yet.
The discipline is younger than most roadmaps admit. Three dates explain it. Almost nobody anywhere has more than a year of practice.
- Feb 2025
Vibe coding
Andrej Karpathy names the new habit: prompt the model, accept what comes, don't read the diff. Fun for prototypes. Unusable in a codebase that earns money.
- Nov 2025
The harness generation
Claude Code and Codex cross into production grade. Agents plan multi-step work, run their own tests, review their own diffs, and self-correct. Enterprise readiness dates from this cutoff.
- Feb 2026
Agentic engineering
Karpathy retires his own term: vibe coding is passé. What replaced it is a discipline. Specs before code, plan mode, review agents, evals. Orchestration, with engineering behind it.
Agentic, because you orchestrate agents instead of typing every line. Engineering, because there is art, science, and expertise behind it. The engineers who made this leap flipped their ratio within months: from 80% writing code to 80% directing it.
This is measured, not asserted.
Four numbers that mark the turn. Every one is external and sourced.
Figures from METR, the SWE-bench Verified leaderboard, Anthropic, and Shopify's published agent case study. Checked July 2026. They move fast, and so far only upward.
AI makes senior judgment more valuable, not less.
Point agents at a team with no system and you get more code, bigger pull requests, and a bug count that climbs. The work does not disappear, it moves to review. A Harvard and BCG study put a hard edge on it: inside a clear scope, AI users were far faster and better; outside it, they were worse than the people with no AI at all.
So the win is never the licence. Every model release makes the tool cheaper and judgment more valuable. What decides the outcome is a senior engineer who knows what good looks like, working inside a system that keeps quality up as speed goes up.
AI does not fix a mediocre team. It only scales that team's bad calls faster and in series. Which is exactly why seniority matters more, not less: the more an agent ships per day, the more expensive every wrong decision in front of it gets.
Humans set the guardrails. Agents do the work.
This is the engineering in agentic engineering, and it is how agent-written code holds up in a codebase that matters. The developer becomes the architect and the decider. The agent handles execution, checking, and the paperwork around every change.
- HumanDefineTests, specs, acceptance criteria, architecture guardrails.
- AIGenerateThe implementation, built to pass the criteria a human set.
- AIReviewA second agent checks security, edge cases, architecture fit.
- AIEnrichImpact analysis, changelogs, docs, walkthroughs on every PR.
- HumanDecideFinal review and merge. The person owns the call, not the model.
- Stripe generates whole SDKs, tests, and docs from one spec
- Datadog runs every agent change through a verification harness
- Rakuten closed 13 issues autonomously in a day, across six repos
A Claude licence doesn’t make your team agentic.
Buying seats takes a day. What decides adoption is everything around them. Each item below costs a first-timer weeks of trial and error. An engineer who has stood it up before, in a team like yours, compresses the curve to days.
Agents and subagents
Which work gets delegated, which stays human, and how agents hand work to each other.
Skills
Team knowledge packaged so every agent loads it. Conventions, domain rules, review checklists.
MCP servers
Agents wired to your internal tools and data, with access scoped tight from day one.
Workflows
Spec first, plan mode, review agents, parallel worktrees. New habits, not new buttons.
Secrets
Credentials and customer data that never reach a model. Set up once, enforced everywhere.
GDPR and compliance
EU model routing, data-processing terms, audit trail. Cleared before rollout, not after.
Build pipelines
CI that keeps up when PR volume triples, and catches agent mistakes before review does.
Guardrails
What agents may touch, what they never touch, and what happens when one goes off track.
This is the difference between a team that has Copilot and a team that ships multiples. The setup decides which one you get.
Who this is for (and who it isn’t).
- You run a software engineering team, roughly 10 to 250 developers.
- You want them fluent in Claude Code, Codex, or a comparable harness, and it hasn't happened yet.
- Licences may exist. Agents, skills, MCPs, and guardrails don't.
- A board KPI on AI in production, or a senior engineer asking why you're behind. Either counts.
- Buyer is CTO, VP Engineering, or Head of Platform.
- Based in DACH, working language German or English.
- You want a body shop or junior capacity.
- You want a strategy deck, not shipped code.
- You want the cheapest day-rate on the market. Ours are senior, and priced like it.
- You don't have an engineering team yet. Go to AI Guru on Demand.
The questions every CTO asks first.
How fast can the engineer actually start?
You brief us in a 30-minute call. Within 48 hours you see pre-vetted profiles matched to your stack. The engineer starts on the date you pick and ships a first PR on day one.
How are the engineers vetted?
Technical interview, reference checks, and a live session in the harness on a real task. We watch them work with Claude Code or Codex before you ever see the profile. Senior only, no exceptions.
What does it cost?
One all-in hourly rate at senior level, agreed before start. Sourcing, contracting and invoicing are included. No setup fee, no commission on top, no surprises on the invoice.
What about IP, NDA, and GDPR?
The engineer signs your NDA, all code and IP belong to you, and data handling stays EU-compliant. Cleared before the start date, not after.
Remote or on-site?
DACH-based engineers, working language German or English. Remote-first by default, on-site days as agreed in the briefing.
What if the engineer isn't a fit after all?
Say it early and we present the next profile. You don't pay for a placement that doesn't work. Our model only works when yours does.
Can they upskill our team, not just ship tickets?
That's the core of the engagement. The method transfers in daily work: PRs, pairing, reviews. An internal champion takes over the workflows, and the exit is planned in the contract.
Do you place permanent hires too?
No, we place freelancers only. That is a deliberate choice. Freelancers change stack, team and codebase every few months. They have to master new tools fast because their market value depends on it, which is why they are usually first through the door on agents. For a permanent hire we are the wrong partner.
Which agentic engineer do you need?
Profiles in 48 hours.
Six fields, two minutes. We come back within one business day to set up the briefing, and you see the first pre-vetted profiles within 48 hours of it.