A practical roadmap to learn agentic engineering
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
A tech veteran shares data-driven insights on surviving frequent reorgs, treating them as predictable constants rather than disruptions.
Explores the common misunderstanding of the DRY principle in programming, emphasizing knowledge over code duplication.
A software engineer reflects on the changing meaning of 'help' in tech, where coding is replaced by documentation and AI agents.
Explores the tension between AI enthusiasts racing to adopt AI and skeptics warning about reliability and knowledge loss.
Analysis of the tension between AI enthusiasts and skeptics in software teams, highlighting the race for innovation versus maintaining reliability.
Uber caps employee AI coding tool spending at $1,500/month per tool to manage costs after overshooting its 2026 AI budget.
Explores the growing divide between AI enthusiasts and skeptics in tech, highlighting the risks of uncritical adoption and communication breakdowns.
Analysis of the growing divide between AI enthusiasts and skeptics in tech, exploring their conflicting views on AI's impact on software development.
Daily tech reading list covering AI efficiency, burnout, Go modules, engineering culture, and solo founding trends.
A curated reading list exploring AI's impact on tech management, software development, and SRE, with links to articles and blogs.
Practical habits for using AI effectively as a software engineer, focusing on fundamentals, context, and understanding.
A curated reading list covering AI's impact on software engineering, CI/CD for coding agents, Google's Agent Executor, Go error handling, and tech trends.
Explores using AI tools like Claude and Codex to write high-quality code slowly by finding and fixing bugs in PRs.
An article arguing that speed in software engineering leads to better learning, decision-making, and overall effectiveness.
Analysis of how engineering career levels have shifted from skill progression to a focus on scope ownership and hiring expectations.
Reflection on software quality vs. speed in the AI era, emphasizing engineering and user-centric design.
Explores how AI changes the definition of a 10x engineer, shifting focus from writing more code to higher-impact decisions and judgment.
A software engineer shares personal thoughts on AI, fears, opinions, and evolving mental journey through the tech landscape.
A keynote on AI literacy for developers, exploring human-AI collaboration and the shift from code wrangling to habitat engineering.