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.
The Great Snowflaking: How AI Could Break the Open Source Model and Force GitHub to Reinvent Itself
For most of the history of software, code was expensive. If somebody had already solved a problem, you reused their solution. You downloaded the library, cloned the repository, installed the package, forked the project or submitted a pull request, because rewriting something that already existed was normally considered wasteful. AI is quietly destroying that economic […]
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From zero to a full AWS account health check with Claude Code
Most AWS accounts accumulate risk quietly. Nobody sets out to leave a broker with zero alarms, or to run two supposedly multi availability zone brokers in the same availability zone, or to leave statement level database logging writing customer data to plain text files. These things happen one reasonable seeming decision at a time, and […]
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Right-Click Any Folder to Launch Claude Code in Ghostty (With Bypass Permissions On)
The friction in using Claude Code has never really been the tool itself, it is the ceremony that surrounds starting it, because you have to open a terminal, remember where the project actually lives, change into that directory, type the command, and then clear the same permission prompt for the twentieth time that morning before […]
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The Fight for Developer AI Spend: Where Should Your $200 Go Right Now?
Anthropic and OpenAI have converged on the same number. Two hundred dollars a month buys the top consumer tier at each company, Claude Max 20x on one side and ChatGPT Pro on the other, and both are pitched in nearly identical language, promising heavy, unlimited feeling access for people who would otherwise burn through thousands […]
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Apple Didn’t Plan This: How the Mac mini and Mac Studio Became the AI Industry’s Favorite Workstation
A follow-up to DGX vs Mac Studio for Local LLMs: A Startup’s Guide to Choosing Your AI Hardware When I wrote the DGX vs Mac Studio comparison in June, the framing was still that a startup buys hardware for its own inference workload. Since then the story has widened considerably. It is no longer just […]
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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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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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