Git Worktrees for Parallel AI-Assisted Development
Use Git worktrees to run multiple AI coding tasks on one repository without branch-switch friction.
Blog posts tagged
AI
AGI arrived in 2025: stop arguing the label
An opinionated case that AGI effectively arrived in 2025 for mainstream knowledge work, and why arguing definitions now distracts from deployment and governance.
AI on-demand learning will make societies smarter
An opinionated look at why AI tutoring and workplace copilots are creating always-on education, plus the strongest evidence for and against the trend.
The Acceleration of Revolution
Why each great economic and technological revolution arrives faster than the last, and why AI may be the most disruptive yet.
AI’s Energy Bottleneck: Powering Intelligence on a Finite Planet
As AI scales, energy, not algorithms, may become the limiting factor. A high-level look at today’s constraints and how they could be overcome.
Web Accessibility in the Age of AI Chat
How to structure blog content and embedded AI chat for maximum accessibility, and why good accessibility is now the foundation for AI-readable websites.
AI and the Vanishing Cost of Intelligence
How artificial intelligence is relentlessly compressing the cost of intelligence and what it means when it effectively reaches zero.
Just‑in‑time AI code generation: build the view you need now, not the whole app
How event‑driven, just‑in‑time AI code generation can reshape software delivery and reduce GPU pressure by materialising only the next required view at interaction time.
Average response time metrics for OpenAI GPT‑5 models (by reasoning level)
A practical look at typical end‑to‑end latencies when calling GPT‑5 models via the OpenAI API, how reasoning level affects time‑to‑first‑token and total completion time, and what you can do to measure and optimise it.
MCP UI: How the Next Web Gets Embedded Inside AI Chat
An emerging UI standard for the Model Context Protocol hints at a world where apps render natively in AI chats, collaborative, secure, and linkable like the web, but conversational at the edge.
The Benefits of Microsoft's POML for LLM Prompt Engineering
Why Microsoft’s Prompt Orchestration Markup Language (POML) brings structure, modularity, and tooling to prompt engineering.
AI Coding Assistants: Amplifier or Liability?
Exploring the dual nature of AI code assistants, their benefits, risks, and how to use them responsibly.
From Terminals to Cloud GPUs: The Full Circle of Computing Architecture
A historical view on how computing evolved from terminals and mainframes to personal computers, and is now circling back with AI and cloud-powered interfaces.
Voice UI & Conversational Interfaces: Building for the Ears, Not the Eyes
How developers can embrace voice-first experiences using modern web APIs, AI models, and UX design for conversational interfaces.
How AI Code Agents Like Devin Will Revolutionize Programming in the Coming Year
The rise of agentic AI platforms marks a turning point in software engineering, equipped with real-time planning, debugging, and execution capabilities.
The Next Few Years of AI: Navigating Change, Finding Opportunity
As AI reshapes society, we face job disruption, new opportunities, and social tension. Here's how we can adapt positively to what's coming.
Unprecedented Acceleration: Insights from BOND's 2025 AI Trends Report
A concise overview of the transformative shifts in AI as detailed in BOND's latest report.
Why Every Programmer Should Learn Prompt Engineering in 2025
As AI becomes integral to development workflows, mastering prompt engineering is essential for modern programmers.
What the Next 6 Months Hold for AI and Software Development
A forward-looking analysis of how agentic AI, smaller models, and ethical challenges will shape the future of programming
How AI Has Transformed Programming in the Last 6 Months
Explore the key shifts AI has brought to development workflows since late 2024.
OpenAI ChatGPT-3 API experiments with temperature
OpenAI ChatGPT-3 API experiments with temperature
Using AI to convert code, is it a good idea?
Using AI to convert code, is it a good idea? My perspective