Category: Artificial Intelligence
AI Supercharges Confidence, NOT Judgement: Why AI Is Making Technical Leadership Harder, Not Easier
Put ten surgeons in a theatre. Each has twenty years behind them, thousands of procedures, and a working memory of every time an apparently simple decision went wrong at hour four. They examine the patient and arrive, independently, at the same conclusion: this operation is a bad idea. Standing next to them is a man […]
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Cut AI Coding Agent Costs: Fix Context Before You Change Models
My inference bill last month was large enough to require an explanation, and the cause looked obvious: I had run one expensive model for everything. So the fix looked obvious too. Route the cheap work to a cheap model, keep the frontier model for the hard parts, save two thirds. That instinct is wrong, or […]
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AI Coding Costs Are Guesswork Without This: Instrumenting OpenCode And Claude Code
My inference bill last month was large enough to require an explanation, and my first instinct was the same one most people reach for: I had run one expensive model for everything, so the fix was to route the cheap work to a cheap model and keep the frontier model for the hard parts. That […]
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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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Running SOTA Open AI Models in opencode Without Paying Frontier AI Prices
How I wired opencode up to Together AI’s model catalog and built three switchable cost profiles so I get top tier reasoning where it matters and cheap tokens everywhere else. Agentic coding tools are hungry for tokens. A single session can burn through a plan, a dozen tool calls, several rounds of edits, and a […]
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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 […]
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Silencing the Ghostty bell when Claude Code asks a question
If you run Claude Code in Ghostty, you’ve probably heard it: a small chime every time Claude finishes a task or stops to ask you something. It is useful on the first day and maddening by the third, especially in a shared office or on a call. The obvious fix is to turn off Ghostty’s […]
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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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AI Context Is Not Memory: Why Agents Need to Forget
1. The follow up question In my previous post I explained why context is not free, and why a smaller AI model carrying a huge context can sometimes cost more to serve than a larger model with a short one. The response I heard most often, in different words each time, was the same question. […]
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Context Windows and KV Caching Explained: Why They Drive AI Inference Costs
1. What a token actually is Before any of this makes sense, it helps to be precise about what a token is, since the whole article rests on it. A model does not read text the way a person does, character by character or word by word. Text is first broken up into tokens, which […]
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