A developer argues for using AI as a 'tutor' for critical thinking tasks, not just a tool to do the work, to maintain and improve core cognitive skills.
Analysis of how engineering management trends shift with business cycles, highlighting core skills that remain constant.
A developer shares their experience using Rust for a real-world project to create a resilient, scheduled health monitoring component.
An Intel Fellow shares advice on how to give effective, constructive technical feedback to hardware vendors like Intel to influence product development.
A curated collection of articles on software architecture, development practices, and Agile methodologies, focusing on platform engineering, code quality, and team dynamics.
A developer discusses the non-deterministic nature of LLMs like GitHub Copilot, arguing that while useful, they cannot take ownership of errors like a human teammate.
Martin Fowler discusses the latest Thoughtworks Technology Radar, AI's impact on programming, and his recent tech talks in Europe.
A developer reflects on the balance between concise and clear code, arguing that too little code can be as harmful as too much.
A senior engineer shares his experience learning to code effectively with AI, from initial frustration to successful 'vibe-coding'.
Practical steps for successfully leading a software or tech project, focusing on scope, communication, and iterative delivery.
Discusses the future of small open source libraries in the age of LLMs, questioning their relevance when AI can generate specific code.
Explores AI as a new computing paradigm (Software 2.0), where automation shifts from specifiable tasks to verifiable ones, explaining its impact on job markets and AI progress.
A curated collection of articles on software architecture, development practices, Java updates, and testing strategies for tech professionals.
A developer argues that AI tools, while feeling productive, actually create more low-priority busywork and reduce overall effectiveness.
A software developer discusses the importance of over-explaining requirements and details in development to avoid misunderstandings and ensure desired outcomes.
A developer with AiDHD discusses the challenges of focus and feature creep when building MVPs with AI, emphasizing the need for discipline.
The article argues that writing a simple AI agent is the new 'hello world' for AI engineering and a surprisingly educational experience.
A developer shares personal guidelines for effectively using AI coding assistants like Copilot and Claude, emphasizing supervision and small, specific tasks.
An engineer argues that software development is a learning process, not an assembly line, and explains how to use LLMs as brainstorming partners.
Explores the psychological barriers engineers face when evaluating programming languages outside their expertise, based on Steve Francia's insights.
