Hire agentic engineers.
In 48 hours.
Senior freelance engineers who already run Claude Code and Codex in production, embedded in your team. You brief us, you meet pre-vetted candidates within 48 hours, and your engineer ships the first PR on day one. If no profile convinces you, you pay nothing.
- Vetted profiles in 48 hours
- First PR on day one
- No fit, no invoice
From briefing to shipping in days.
One agentic engineer in. The whole team levels up.
The skill gap in 2026 does not run between junior and senior. It runs between engineers who made the agentic leap and engineers who have not had the chance yet. Workshops don't close it. Working next to someone who has does.
So we embed one senior engineer who already works this way. Same repo, same standups, same sprint board. A full team member with a delivery commitment, not a coach with a slide deck.
Delivers and multiplies
Carries real tickets from day one. The method transfers in daily work, in PRs, pairing, and reviews. Not in a training room.
Sits in the middle
Regular standups, regular reviews, no separate reporting line. The team sees the whole workflow, not a demo.
Leaves as planned
An internal AI champion takes over the workflows. Exit is in the contract. If we did the job, you don't need us.
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 probation period, no severance. Standups, PRs, pairing, a delivery commitment, vetted live in the harness before you meet them.
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. An internal champion is trained to carry it on. Exit is in the contract.
Terms you can read in one sitting
Senior day rates agreed before start, our margin disclosed. Start on the date you pick, part-time or full embed.
You brief Ralf directly.
Over 1,000 tech hires and a decade of placing senior engineers in DACH. He knows 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 candidate Vetted profiles in 48 hours
- Vetting Tech interview, references, live in the harness
- Agentic depth Runs Claude Code and Codex in production today
- Team effect Your team levels up next to them
- If it doesn't fit No invoice. We present the next profile.
- Time to a candidate Months, plus ramp-up
- Vetting Your funnel, your risk
- Agentic depth A coin flip. The field is barely 18 months old.
- Team effect One hire, slow diffusion
- If it doesn't fit Probation drama and a restart
- Time to a candidate Days to a stack of CVs
- Vetting Profile screening and star ratings
- Agentic depth The word 'AI' on the profile
- Team effect A contractor in a corner
- If it doesn't fit Your screening time was the cost
- Time to a candidate Weeks, and whoever is free
- Vetting The bench decides
- Agentic depth A workshop certificate, maybe
- Team effect Capacity, not capability
- If it doesn't fit Change-request paperwork
What clients are saying.
Working with GO10X helped us uncover untapped AI potential within our product and tech teams. Despite being advanced in our automation journey, their 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. GO10X'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, not with you.
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 engineerWho 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.
Why 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 exposes one, faster and at scale. The lever is seniority plus a system, not more seats.
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.
- Human Define Tests, specs, acceptance criteria, architecture guardrails.
- AI Generate The implementation, built to pass the criteria a human set.
- AI Review A second agent checks security, edge cases, architecture fit.
- AI Enrich Impact analysis, changelogs, docs, walkthroughs on every PR.
- Human Decide Final 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 licence doesn't make a team agentic. The setup does.
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.
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?
Senior day rates, agreed before start, with our margin disclosed. You see what the engineer earns and what we earn. No setup fee, no hidden spread.
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.
We'd rather hire our own agentic engineers. Do you help with that?
Yes. Ten-plus years placing senior engineers across DACH means we know where they are and how to test them. We source and vet for direct hire too. The point is shipped agents, not the placement.
Which agentic engineer do you need?
Profiles in 48 hours.
Four fields, two minutes. We come back within one business day to set up the briefing, and you see pre-vetted agentic engineers within 48 hours of it.