Evaluating the cost of rebuilding software from scratch involves more than counting development hours; it requires recognising the invisible value of user feedback, lessons learned, and embedded experience.
Should engineers fear messy AI code or embrace it as a tool for fast product validation? This story reveals why your cleanest code might not be your most valuable contribution. Why founders will use AI generated code more and more for MVPs and prototyping and why engineers should embrace this.
Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.
Forced API migrations without a rollback plan? That’s how businesses lose trust—and money.
Balancing innovation with stability is key in managing SaaS legacy code. You explore phased implementations, leveraging existing assets, and continuous learning to maximize legacy code potential. Ideal for tech leads and founders.
Discover effective strategies for managing technical debt and legacy code in software development. This comprehensive guide for founders explores the causes, impacts, and solutions to maintain sustainable growth and high-quality code.
We discuss the challenges of using PHPStan at its strictest level for type checking, particularly with 'mixed' types. It explores solutions like using strval() and creating custom functions, but ultimately, the author opts to lower PHPStan's strictness due to complexity, ending with mixed feelings.
Improve your front-end project's performance and maintainability with our guide to refactoring a codebase. Learn about tackling technical debt, assessing your code, planning a strategy, and exploring refactoring techniques.
Caught in a vendor's web, a client believed a total rebuild was their only option. Discover how we unravelled this myth and saved them time, money, and risk while exposing the industry's flawed advice on web application development.