Artificial Intelligence Blogs for Technologists
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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.
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 […]
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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 […]
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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 […]
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AWS Bedrock Model Lag: When Your AI Platform Leaves You a Generation Behind
DeepSeek, Kimi and GLM show why model choice and cloud choice can no longer be the same decision 1. Bedrock is a very AWS answer to generative AI Amazon Bedrock takes a chaotic market of model providers and wraps it in IAM, AWS networking, logging, governance, regional deployment and an existing enterprise commercial relationship. What […]
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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 […]
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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 →Appium macOS Desktop App Testing: Setup & First Test
Automating native Mac applications with Appium and Claude Code 1. What Appium Actually Is (and Why It Matters for Desktop) Most engineers encounter Appium in a mobile context, but it has always supported native desktop application testing on macOS through its mac2 driver, and this is genuinely useful territory that gets far less attention than […]
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How Banks Can Break Client Hypnosis: Contextual Authorisation and the Fight Against Social Engineering Fraud
by Andrew Baker 1. Opening: The Client Has Been Captured The fraud victim approving a transaction they believe is a refund is not making a mistake. They are not confused or careless or naive. They are operating under full psychological capture, executing instructions from an authority figure they have been conditioned over the course of […]
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The ARM That Grew Teeth
How a 35-year-old IP licensor just walked into the most contested real estate in computing ARM spent 35 years becoming the most trusted neutral infrastructure company in computing, and then deliberately chose to give up that neutrality in exchange for a larger share of the value it had always enabled others to capture. Whether that […]
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Force Claude to Debug Like an Engineer: 9-Step Guide
If you are doing 20 builds before finding the real issue, the problem isnot intelligence. It is workflow design. Claude defaults to probabilistic reasoning. It produces the most likelyexplanation. That is useful for writing. It is disastrous for debugging. You must force it into instrumentation mode. This article shows exactly what to configure, where to […]
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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 →Model Context Protocol: Enterprise Implementation Guide
The Model Context Protocol (MCP) represents a fundamental shift in how we integrate Large Language Models (LLMs) with external data sources and tools. As enterprises increasingly adopt AI powered applications, understanding MCP’s architecture, operational characteristics, and practical implementation becomes critical for technical leaders building production systems. 1. What is Model Context Protocol? Model Context Protocol […]
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