AI-SDLC enablement

Your developers got faster with AI. Your team didn't.

AI made writing code fast. Reviewing, testing, and shipping all that code safely is still on your team — that's where the bottleneck moved. We train engineering teams to put AI to work across the whole lifecycle, on the tools you already pay for.

A workspace with a notebook sketching a software lifecycle workflow beside a laptop showing a code review

The gap

The bottleneck didn't disappear. It moved.

AI coding tools made the writing part fast. They didn't fix the rest of the lifecycle — requirements, review, testing, release, follow-up. So the bottleneck just moved: more code, more to verify, more to coordinate, same-size team.

Most teams have bought the tools. Far fewer have actually changed how they work around them.

That gap — between owning AI tools and operating with them — is what we close.

What we do

Two ways to put AI to work across your lifecycle.

01

AI-SDLC Workshops & Trainings

Hands-on, practical, no death-by-slides. Your team leaves with working agent setups, a prompt library, guardrails, and an adoption plan they'll actually use.

Built around your stack

We build the session around your stack, tools, and workflows before we show up — so your team walks out with a plan it can run on Monday, not a generic deck to forget by Friday.

A plan, not a deck

Your team leaves with working agent setups, a prompt library, guardrails, and an adoption plan it can run on Monday.

02

AI-SDLC Setup & Adoption Support

We help your team build its own AI-SDLC setup on the tools you already run — Cursor, Copilot, Claude Code, your CI. Done with your team, so the capability stays with your team.

Map the workflow

We map your current lifecycle and design safe human-in-the-loop processes — deciding where agents should and shouldn't operate.

Make it repeatable

We turn experiments into repeatable practice your team owns, not a dependency on us.

Illustrated portrait of Milko Slavov

Milko Slavov

Founder · AI-SDLC.services

Proof

The person delivering it builds it daily.

Run by Milko Slavov — who builds and ships background agents across the SDLC and writes about the work, wins and failures, publicly. You can see exactly how we think before you ever book us.

Read the work on LinkedIn
  • Delivered hands-on AI-SDLC and AI-QA workshops for engineering teams through 2025–2026, including public editions via the conf.ai partner platform.
  • Ran a 2-day private AI-SDLC engagement for an enterprise infrastructure company.

Who this is for

We help teams get better at building with AI.

For teams where the tools are in hand but the way of working hasn't caught up. If that's not you yet, no hard feelings — these are the edges.

A fit

  • Engineering teams of roughly 10–60 devs already using AI coding tools
  • Individual speed has outrun the team's ability to verify, coordinate, and ship
  • Usually led by a CTO, VP Eng, or an engineering lead who owns how the team works

Not a fit

  • Open-ended staff augmentation or outsourced dev-shop work
  • “Build us X and leave” — we don't replace your engineering function
  • Teams looking for a generic deck instead of a plan they'll run

Tell us what's slowing your team down

Send it over. We'll reply within 2 business days.

This is a short form, not a sales call. It helps the wrong work self-filter and the right work arrive already scoped.

The founder reads and replies to every one personally.

AI tools you already use
What you want