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.
Anthropic's Claude AI reportedly discovered 500 zero-day vulnerabilities, sparking debate on AI's role in security research.
Anthropic's Claude AI reportedly discovered 500 zero-day vulnerabilities, sparking debate on AI's role in security research.
A software engineer's lament on AI's impact on programming, mourning the loss of hands-on coding as a craft.
Tom Dale discusses the mental health impact on software engineers due to rapid AI-driven change and cognitive overload.
Tom Dale discusses the mental health impact on software engineers due to rapid AI-driven change and cognitive overload in the tech industry.
A daily tech reading list covering AI trends, software engineering changes, cloud development, and the impact of AI on coding and open source.
Distinguishes reckless 'vibe coding' from disciplined, AI-assisted professional software engineering, proposing 'agentic engineering' as a better term.
Explains why creating documentation and other artifacts is crucial for traceability and maintenance in professional AI-assisted software development.
A software engineer argues that learning to code remains essential despite AI's ability to generate code, as coding skills are needed to evaluate and work with AI-generated output.
![[notes] Three Theses and Their Implications About Software Engineering](https://alldevblogs.blob.core.windows.net/thumbs/article-a39c1b51bb34-full-c1dd3352.webp)
A reflection on software engineering culture, emphasizing engineer agency and the impact of management on team dynamics and responsibility.
A software engineer shares a technique for handling critical feedback by focusing on finding the 'kernel of truth' to improve professionally.
A personal account of joining Anthropic as a software engineer, covering the application process, interview preparation with AI, and considerations like salary and equity.
A daily tech reading list covering AI development, MCP servers, ad system architecture, Spring Boot migration, Airflow updates, Kubernetes features, and open-source AI projects.
A software engineer shares seven career aspirations for 2026, focusing on fundamentals, systems thinking, communication, and long-term impact.
A software engineer's personal journey from skepticism to embracing AI coding assistants, examining the tribalistic debates surrounding LLMs in development.
A developer details using their own tool, AI DevKit, to build its features, exploring how to make AI coding more predictable and efficient.
Argues that the future of software engineering lies in Site Reliability Engineering (SRE) and operational excellence, not just writing code.
