The author will join the Oxide and Friends podcast to make predictions about AI developments for the years 2026, 2028, and 2032.
A daily link roundup for developers covering .NET, web dev, AI, Python, DevOps, and tech industry news from January 1, 2026.
A December 2025 link roundup featuring TypeScript tips, the Bun/Anthropic acquisition, debugging quirks, and bug-fix challenges.
Predicts AI-driven shifts in cybersecurity for 2026, focusing on agentic platforms, secure coding, and automated asset management.
A software engineer's predictions for AI trends in 2026, covering generative UI, edge-based agents, smart homes, and the evolving role of engineers.
A 2025 year-in-review focusing on advocacy work for database professionals, AI integration, and practical tech leadership at conferences.
A year-in-review blog post reflecting on machine learning course blogging, revisiting 'The Bitter Lesson', and critiquing trends in ML and economics.
Explores how AI will expand knowledge work by making tasks cheaper, leading to new projects and activities we don't do today.
Dell's GB10 mini workstation review, focusing on its AI development features, high-speed networking, and Arm CPU performance.
Discusses the importance of validating AI and automated systems, covering methods like consistency checks, certificates, and formal verification.
An analysis comparing AI's rise in 2025 to cloud adoption in 2010, arguing AI has become mainstream foundational tech in developer tools.
How AI is enabling individuals to build custom software for personal use, replacing paid apps and unlocking new creative potential.
A month-by-month recap of 2025's AI landscape, focusing on reasoning models, agents, efficiency breakthroughs, and industry shifts.
A technical guide on implementing vector search in Oracle Database 26ai, using a car manual as a practical example to improve semantic search.
A software engineer explains their decision to stay on Substack for blogging, prioritizing community engagement and reducing writing friction over platform controversies.
Analysis of top cybersecurity career paths for 2026, covering job growth, AI's impact, and realistic entry points into the field.
Explains why large language models (LLMs) like ChatGPT generate factually incorrect or fabricated information, known as hallucinations.
Argues for a new type of cybersecurity product focused on communicating safety and business value, not just technical metrics.
Anthropic's Claude Code ecosystem, like Apple's iPhone, gives it a strategic advantage over competitors focused solely on AI models.
Using LLMs to analyze and grade the accuracy of decade-old Hacker News discussions with the benefit of hindsight.
