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Software Design

Legacy Code Architecture

This training combines theory with practice, providing tools for daily work on code and architecture quality.

Duration
24h · 3 days
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Who it's for

Ideal for teams that…

1 Developers who want to enhance their skills in managing code quality—learn how to avoid pitfalls related to technical debt and improve code transparency.
2 Team leaders and tech leads aiming to streamline team processes and manage technical decisions in projects.
3 Software architects seeking to design application architectures more effectively and maintain their consistency over the long term.
4 Individuals working with legacy code who want to implement changes effectively without destabilizing existing solutions.
Outcomes after the program

Solid backend and architecture — patterns proven in production.

✓

Effective management of code and architecture quality—understand concepts like SOLID, KISS, DRY, and YAGNI to design better solutions.

✓

Effective strategies for managing legacy code—learn when to choose refactoring, the Strangler Pattern, or rewriting to reduce technical debt.

✓

Practical refactoring techniques—identify issues in code and apply refactoring at the method, class, module, and architecture levels.

✓

Optimizing team collaboration—discover ways to minimize conflicts when introducing changes and making key decisions.

Program

What we actually do

  • · Introduction Software Quality vs. Code Quality Legacy Code vs. Technical Debt Why does code quality decline?
  • · Strategies for Managing Legacy Architecture Continuing the current approach Continuous Refactoring Strangler Pattern Rewrite How to make decisions?
  • · Prevention Overview of techniques Cost vs. benefit How to handle challenges Conflicts vs. decision-making
  • · Software Development vs. Code Quality Composition Over Inheritance Data Model vs. Domain Model Domain Model vs. Anemic Domain Model SOLID KISS YAGNI DRY
  • · Overview of Selected Programming Patterns Creational Patterns Behavioral Patterns Structural Patterns Being Pattern Happy
  • · Software Development vs. Architecture Quality Architecture Decision Record Architecture Testing Low Coupling High Cohesion How to choose the right architecture?
  • · Refactoring What is refactoring? When (not) to refactor?
  • · Preparing for Refactoring Edit and Pray Cover and Modify Implementation-Oriented Tests Testing modified code Testing vs. compromises in code
  • · Code Refactoring How to identify the problem? Refactoring methods Refactoring classes and dependencies Refactoring modules
  • · Summary
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

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The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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