Explores 'comprehension debt,' the hidden cognitive cost of over-relying on AI-generated code, which erodes team understanding and long-term maintainability.
Analyzes the decline of on-the-job training for junior engineers due to remote work and AI automation, posing a risk to the industry's future talent pool.
A quote from John Carmack on the pitfalls of over-architecting software for future needs, shared on a developer's blog.
A quote from John Carmack on the pitfalls of over-architecting software for future needs.
A software engineer discusses managing chaos, interruptions, and operational fires while building long-term solutions and effective engineering habits.
Critique of the 'three pillars' observability model, arguing it destroys data context and relationships, making AI and engineering insights harder.
A daily tech reading list covering AI coding agents, cloud events, GitOps, cybersecurity, and the latest OpenAI models.
Explores the role of humans 'on the loop' in AI-driven software development, balancing automation with human oversight.
Advice for tech professionals on emphasizing scope and impact over job titles on resumes to stand out in hiring.
A curated list of articles and blogs about AI agents, software engineering changes, API latency, and developer experience.
Analyzes how AI is creating challenges for junior developers, arguing that advice to 'struggle harder' ignores systemic pressures.
A software engineer reflects on the importance of mentoring and delegating to avoid becoming trapped in a critical role, advocating to 'code yourself out of the job'.
A tech author realizes she wrote the wrong book for engineers, then rewrites it based on community advice about software buying.
Charity Majors discusses the upcoming second edition of 'Observability Engineering', which is twice as long despite Martin Fowler's advice to make it shorter.
Thoughtworks retreat findings challenge the idea that AI replaces junior devs, highlighting their value and the challenges facing mid-level engineers.
Thoughtworks retreat findings challenge AI's threat to junior devs, highlighting their value and the real challenge of retraining mid-level engineers.
A critical analysis of why LLMs like Claude Code struggle with complex coding tasks, arguing the real issue is not intelligence but poor software engineering practices.
A Google engineer shares 14 lessons on teamwork, decision-making, and focusing on the right problems, based on 14 years of experience.
Introduces GLM-5, a massive new open-source AI model, and discusses the emerging concept of 'Agentic Engineering' for software development with LLMs.
Explains the three key growth curves—exponential, linear, and logarithmic—that define a scalable software business and an engineer's role in building long-term assets.
