Daily tech reading list covering cloud events, code review, modular monoliths, AI agents, TDD, and reliability engineering.
A curated daily reading list for tech professionals covering AI in coding, Kubernetes, TDD, and software development trends.
A senior-level discussion on AI in software testing and development, covering TDD, architecture, and security.
A developer explains why they switched to Test-Driven Development (TDD) and how it improved their coding process, with a focus on testing inputs/outputs.
An analysis of using AI to generate automated tests, arguing it misses the point of TDD and reduces testing to a superficial ceremony.
An analysis of how AI, specifically Claude, is transforming software development workflows, with a focus on real-world implementation details and the role of TDD.
A look at key AI trends for 2026, focusing on verifiability, continuous agents, and vertical problem-solving.
Explores Kent Beck's 'coding genie' metaphor for LLM coding agents, warning against anthropomorphizing them as they are probabilistic tools.
Explores why unit tests sometimes pass unexpectedly, focusing on tautological assertions and the discipline required for effective test-driven development.
A developer reflects on a year of launching the Swift Academy podcast, discussing iOS topics like TDD and modularization, and building a new framework.
Explains structure-cementing tests that hinder code refactoring and introduces a TestDsl approach to write flexible, maintainable tests.
A guide to implementing a radix tree (compressed trie) data structure in Julia using Test Driven Development (TDD).
Explores how comprehensive testing enables the 'Four Rules of Simple Design,' focusing on how tests support change, intention, and duplication removal.
A guide to Test-Driven Development (TDD) in Swift, explaining the methodology and demonstrating its use through a practical case study.
Explores the concept of a 'unit' in unit testing, arguing it's not necessarily a class and discussing how to determine the right scope for effective tests.
Explores the importance and benefits of automated testing in software development, addressing common barriers and the value of testing culture.
Explains the triangulation technique in Test-Driven Development (TDD) to safely generalize code using multiple test assertions.
Argues that well-written unit tests serve as the most reliable and up-to-date form of documentation for software code.
A guide to implementing unit testing and UI testing for Swift applications, covering principles, best practices, and a practical case study.
A guide on introducing Test-Driven Development (TDD) to a software team through leading by example and building consensus.
