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'.
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 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.
