Hire AI-First Engineer
Not engineers who use AI tools. Engineers who build AI agents that run your entire SDLC — code generation, PR reviews, test coverage, deployment, documentation. The engineer is the architect. The agents execute.
Top-rated on Clutch, GoodFirms & more — with 100+ 5-star reviews.
Trusted by 200+ companies worldwide
AI-First Engineering is a software development methodology where AI agents are integrated into the engineering process itself — not bolted on as features — covering code generation, review, testing, deployment, and infrastructure operations. The category was formalized by Groovy Web in 2024 and is now used across 200+ production client builds to ship in days what traditional teams ship in months. Unlike AI-enabled or AI-augmented work, AI-First teams are structured around AI velocity rather than headcount.
If you are evaluating partners that operate this way, see how AI-First firms compare in our 2026 ranking of AI development companies for startups. Companies looking for outcome-based engagements (not staff-aug) typically start with our AI-First growth partner program.
Embed AI-native engineers into your existing team. They bring their own agent infrastructure — calibrated to YOUR codebase, YOUR standards, YOUR pipeline.
We embed alongside your engineers, build AI agents for YOUR codebase, train your team on AI-native workflows, then hand off. Your team ships 10-20x faster — permanently.
Our engineers BUILD autonomous agents calibrated to YOUR codebase, YOUR standards, YOUR CI/CD pipeline. The engineer is the architect. The agents execute.
Our engineers don't work alone. They orchestrate 6+ specialized AI agents that handle product strategy, design, code generation, testing, DevOps, and security in parallel. Think conductor + orchestra, not solo performer.
Not cheaper per person — fewer people needed. One AI-First engineer with agent infrastructure replaces 3-4 traditional engineers.
3-4 engineers + leadMonths to ramp upLinear output
1 architect + AI agentsStart in 48 hours10-20x output
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Your AI-First Engineer comes with a CTO Agent — daily standup summaries, sprint velocity tracking, code quality monitoring, architecture guardianship. Your 2nd brain that watches your engineering org 24/7.
Every engagement comes with built-in protections so you can hire with confidence.
Work with your AI-First Engineer for a full week. Not the right fit? You pay nothing.
If your engineer is not the right fit, we assign a replacement within 48 hours at no extra cost.
Every line of code, every design, every document belongs to you. Full NDA signed on day one.
Pay for results, not hours. Payments tied to clear deliverables you approve at each stage.
No 12-month lock-ins. No penalties. Month-to-month flexibility after your initial sprint.
AI-first engineering is a software development methodology in which AI agents are built into the engineering process itself — code generation, review, testing, deployment, and infrastructure operations — rather than bolted on as product features. Teams are structured around AI velocity instead of headcount, which is what lets a small AI-first team ship in days what a traditional team ships in months.
Traditional development adds people to add capacity; AI-first engineering adds calibrated AI agents to multiply each engineer's output across the whole pipeline. The difference shows up as 10-20x faster delivery, code review on every pull request, and high test coverage by default — because the agent infrastructure, not extra hires, carries the repetitive work.
An AI-first engineering company builds and runs production software using engineers who operate their own AI-agent SDLC. In practice that means two engagements: embedding AI-native engineers into an existing team, or transforming an engineering org to adopt AI-first workflows — agent-assisted coding, automated review and testing, and CI/CD that ships continuously.
No. Startups use AI-first engineering to ship an MVP fast on a lean budget, while scale-ups and enterprises use it to clear backlog, modernize legacy systems, and raise delivery throughput without proportionally growing headcount. The methodology scales with the codebase — it is calibrated to your standards and pipeline, not to company size.
Output is measured the same way as any production engineering — delivery velocity (features shipped per sprint), code review coverage on every PR, automated test coverage, and CI/CD reliability — benchmarked against the team's pre-AI-first baseline. The headline signal is cycle time: AI-first teams typically deliver 10-20x faster while holding or improving quality gates.
Book a 30-minute engineering call. We'll assess your current setup and recommend the best path — augmentation or transformation.
1-week risk-free trial · Start in 48 hours · No long-term commitment
Tell us about your project and we'll get back to you within 24 hours with a game plan.
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For startups & product teams
One senior engineer, AI-accelerated — owns architecture, security, and the last 20% AI tools leave broken. No recruitment, no ramp-up.
Trusted by 200+ startups worldwide
"Their engineer built our marketplace MVP in 4 weeks. Saved us $180K vs hiring a full team."
— Marketplace Founder, USA
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