AI-driven SDLC for engineering teams|

Ship smarter. Ship faster. With AI as your force multiplier.

– AI4Dev brings production-grade AI tooling into your engineering workflow

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The bottleneck

Every engineering team I talk to knows they should be leveraging AI across their SDLC – but turning cursor chats and copilot completions into a repeatable, team-wide advantage is a different problem entirely.

The tools are evolving faster than teams can absorb them. Best practices are scattered across Twitter threads and conference talks. Your competitors aren't waiting for you to catch up.

You need more than a tool license. You need a system – and a partner who's already run this playbook.

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Three ways to work with me

01Workshops & Trainings

Hands-on, live-coding sessions that take your team from AI-curious to AI-productive. We work through your actual codebase and shipping workflows.

What you get

Custom curriculum mapped to your tech stack & team size · Live exercises with real PRs · Playbook for code review, testing & architecture with AI · Q&A with an engineer who ships with these tools daily

Format

Half-day to 2-day on-site or remote · Groups of 4–20 engineers

02Setup & Adoption Support

Embedded partnership to integrate AI tooling into your team's daily workflow – from agentic coding to automated code review to AI-augmented testing.

What you get

Toolchain audit & recommendation · Custom agentic workflows & prompts · CI/CD integration for AI-assisted code review · Migration from ad-hoc usage to repeatable team practices · Weekly syncs with measurable progress

Duration

2–6 week engagement · Full-time or part-time · Remote or on-site

03Forward Deployed Engineering

I embed directly with your team to design, build, and ship AI features in your production codebase — end to end, from spec to deploy.

What you get

Production LLM integration & API design · Agentic workflows tuned to your stack · Eval harnesses, cost guardrails & CI gates · Knowledge transfer so your team owns it after I leave

Format

2–8 week engagements · Remote or on-site · Weekly demos & handoff documentation

Let's talk

Ready to bring production-grade AI into your workflow? Book a 30-minute call to explore how AI4Dev can help your team ship faster.

Book a call

AI integration cases

A few anonymized outcomes from shipping AI into real engineering orgs. Every case is illustrative — names and metrics softened to protect clients.

LegalTech · Ship velocity · CI code review

LegalTech · 20 engineers

  • SDLC pipeline rebuilt with spec-driven AI-assisted codegen and review
  • PR review time cut from ~2 days to a few hours with an AI review bot wired into CI
  • Human review kept as source of truth – AI handles the first pass
  • Lead time reduced by 30%

Dev Platform · Agentic testing

Dev Platform · platform team

  • Agentic test suite generated and maintained in CI, catching regressions the old suite missed
  • Release confidence up; manual regression runs retired

Enterprise · LLM in production

enterprise product · product team

  • LLM layer for Agentic RAG shipped in 6 weeks with prompt eval harness, cost guardrails and CI gates
  • Quality held to a measurable bar via evals

Startup · Ship velocity

early-stage startup · 6 engineers

  • Fragile release pipeline rebuilt with AI-assisted codegen and review
  • Shipping velocity roughly tripled without a quality dip
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EP

About

Eugene Pro — LinkedIn

I've been building production software for over 10 years. For the last 2, I've been heads-down on AI-assisted development – building agentic workflows, integrating LLMs into CI/CD pipelines, and helping teams triple their shipping velocity without sacrificing quality.

I've trained engineers across startups and enterprises on how to make AI a first-class member of their engineering team. This isn't a side project – it's what I do every day.

[+] Built and shipped AI-augmented CI/CD pipelines for teams of 5–50+
[+] Led workshops for engineering orgs at multiple tech companies

Fit check

Not every team is ready for this. Here's who we can help – and who we can't.

A fit

  • Your team already uses AI tools but wants to systematize
  • You're evaluating which AI investments actually move the needle
  • You want agentic coding workflows, not just autocomplete
  • Your CTO/VP Eng is sponsoring this as a strategic initiative
  • You have real shipping pressure and need results this quarter

Not a fit

  • You're looking for a "deploy AI and done" tool vendor
  • You expect an LLM to replace your engineers
  • Your team isn't willing to change its workflow
  • You need compliance-driven AI governance consulting
  • You're not ready to invest in team training or tooling

Let's talk

Tell me about your team, your stack, and what's slowing you down. I'll reply within 48 hours with a concrete take on whether – and how – I can help.

No sales deck. No generic proposal. Just an honest conversation about where AI fits in your engineering org right now.

Book a call
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