Artificial Intelligence Blogs for Technologists
AI in banking, LLMs in production, AI infrastructure and governance, and what actually changes when you deploy AI at enterprise scale, written for technologists not hype-chasers.
The Agentic Limerence Trap: When Productivity Becomes Emotional Avoidance
1. The Most Addictive Technology I Have Ever Used Agentic AI is the most addictive technology I have ever used, not because it numbs the mind or encourages passive consumption, but because it creates the overwhelming sensation that your intellectual and creative potential is finally becoming unconstrained. Most addictive systems in history eventually expose obvious […]
Read more →
You Cannot Govern What You Cannot Measure: The Case for AI Evaluation Maturity
Most organisations deploying AI are flying blind. They have a model, a prompt, and a vague sense that it seems to work. They ran it past a few people internally, nobody objected loudly, and it shipped. That is not evaluation. That is hope wearing a business case. The image at the top of this post […]
Read more →
The Leadership Handoff: How Learned Helplessness And Management Bottlenecks Are Slowing AI Era Organizations
1. The Rugby Lesson Most People Learn the Hard Way If you have ever played rugby, you learn very quickly what a handoff is. You approach a player too high, too upright, or too casually, and suddenly there is a massive palm in your face while your dignity disappears backwards across the grass. The handoff […]
Read more →
DGX vs Mac Studio for Local LLMs: A Startup’s Guide to Choosing Your AI Hardware
Published: June 2026 | Author: Andrew Baker Running large language models locally is no longer the exclusive domain of hyperscalers. Startups are increasingly asking a deceptively simple question: should we drop $300k on an NVIDIA DGX node, or pick up a Mac Studio for a fraction of that cost? The answer depends entirely on your […]
Read more →
DeepSeek V4 Flash vs. Claude Haiku, Sonnet, and Opus: A Coding Review
The question isn’t which model wins DeepSeek pushed the official deepseek-v4-flash API into public beta on July 31, 2026, and immediately claimed its cheap tier now beats DeepSeek’s own more expensive V4-Pro-Preview on agent benchmarks. Then, on August 13, 2026 (the announcement that landed in most feeds on Friday, August 14), DeepSeek took V4-Pro to […]
Read more →
Two Prices for the Same Model: Building Claude Burst
I recently ran a comparison out of curiosity: what would a normal month of Claude Code usage on a fixed subscription have cost if it had instead been billed at public API rates. I built some local tooling to reconstruct that from session usage, because the standard analytics were not giving me the visibility I […]
Read more →
Claude Code YOLO Mode: Scripting Your Way Past the “Auto Mode Not Available” Wall
Updated June 2026 to cover Auto mode GA, the classifier architecture, and a new script for tuning classifier false positives. When Claude Code displays “Auto mode not available for this model,” you can replicate its permissive behaviour by scripting direct edits to the settings.json file, which controls tool permissions. This approach temporarily grants Claude unrestricted […]
Read more →
Cognitive Surrender or Competitive Advantage? What a Reddit Rant Gets Right and Wrong About AI Code Review
A post did the rounds recently on r/cscareerquestions, a Reddit forum where software engineers trade career advice and workplace stories, under the title “My senior engineers have stopped thinking for themselves.” The author, three years into a job he liked, describes watching his tech lead ship a PR labelled “refactored auth flow based on ChatGPT […]
Read more →
The Unanswered Message Problem: What OpenAI’s Dot Changes for People Who Drown in Their Own Inbox
1. A confession about my response times If you have ever sent me an email, a Teams message, a WhatsApp or a LinkedIn note and heard nothing back, you were on the losing side of a choice I made every single day. I could either get something meaningful done, or I could read emails, do […]
Read more →Chrome MCP for Claude Desktop: Install in One Script
If you have ever sat there manually clicking through a UI, copying error messages, and pasting them into Claude just to get help debugging something, I have good news. There is a better way. Chrome MCP gives Claude Desktop direct access to your Chrome browser, allowing it to read the page, inspect the DOM, execute […]
Read more →
PostgresDB Proxy: AI Powered Data Masking and Zero Trust Access for PostgreSQL
Presented at AWS Summit Johannesburg Leon Rajindrapersadh, CTO of Capitec, and Terrence Naidoo, Principal Solutions Architect at AWS, are presenting this architecture at AWS Summit Johannesburg on 19 August 2026 at the Gallagher Convention Centre. The session is titled “Database proxy for real time query optimization” and runs for 45 minutes from 13:30 in Breakout […]
Read more →
How Does LLM AI Store Your Data: Claude Conversation History, Data Retention, and What Are Embeddings
If you have ever wondered whether your Claude conversations are saved to your phone, whether deleting a chat actually removes your data, how long Anthropic keeps your history, or what on earth your words become before a language model can read them, this post answers all of it. Most explainers stop at the surface, telling […]
Read more →