Enterprise · Legacy · DORA

Accelerating development of large projects with AI

How to stop drowning in legacy and start delivering value faster.

3 modulesOnline / OfflineEnterpriseCTO / CDTO / Tech Leads
Accelerating development of large projects with AI
TTU ↓shorter delivery cycle
×3small-team productivity
C4transparent architecture
7–9optimal team size

Our clients

Clients and partners

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
+10clients · View cases →

The Problem

The Enterprise "Complexity Trap"

Approach

An AI-driven approach from KT.Team

AI does not think for you, but it turns the chaos of legacy code into a manageable engineering task.

Program

Workshop Program

01 · Static Analysis

AI Archaeology and Inventory

AI as an "architecture scanner": finding HTTP contracts, queues and hidden dependencies across dozens of repositories — including what was forgotten during onboarding.

02 · Skills & Agents

Knowledge Management and Verification

Plan-driven approach: AGENTS.md, a skills library and the chain "agent → questions → plan → confirmation → execution" instead of blindly trusting AI.

03 · DORA Metrics

Objective Quality Control

We measure impact with DORA: small batches, fast feedback and loose coupling as a proven property of effective architectures.

Schedule

Upcoming Dates

June 10Wednesday, 12:30 MSKRUB 20,000 / person
June 17Wednesday, 12:30 MSKRUB 20,000 / person
June 24Wednesday, 12:30 MSKRUB 20,000 / person

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First we solve the practical task, then we show how it was assembled so the team can repeat the approach safely and independently.

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