Our AI coding bill quietly tripled. Here's what we learned fixing it.
A few months ago I opened our cloud bill and had that small stomach drop moment every engineer knows. Our AI coding spend had roughly tripled. Not bec…
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A few months ago I opened our cloud bill and had that small stomach drop moment every engineer knows. Our AI coding spend had roughly tripled. Not bec…
Every "what's the cheapest model?" thread online is people trading vibes. I got tired of it, so I built a pipeline that pulls live, cited prices and r…
A month ago, we thought we'd solved our access control issues with IAM Access Analyzer. But a closer look revealed a staggering overprovisioning probl…
LLM costs accumulate in ways that are not always obvious. Tokens consumed by system prompts, repeated context windows, and verbose JSON outputs all in…
Most AI inference platforms bill by the token. You pay for every input token and every output token, which makes costs predictable only if your contex…
Choosing an LLM inference API is no longer just about model quality. For production workloads, the decision hinges on how pricing scales with usage, w…
I run a production multi-agent AI system on a single M1 Mac in Jamaica. 6 autonomous agents. 26 cron workflows. 5-layer persistent memory. All contain…
We run a self-healing AI agent system (Kaizen Harness — open source, GitHub ). Council debates on architecture, daily tech scans, trajectory logging, …
Vertex AI Grounding Cost Gap: Diagnosing the Missing $1300 on My Solo VM Running a full AI product solo on a single small VM means every dollar counts…
Local LLMs vs Cloud APIs: Building Offline-First AI Workflows Your AI workflow just went offline: Here's why developers are running models locally and…
THE HIDDEN TAX OF AI Output Is King INPUT COST $2.50 Per 1M Tokens (GPT-4o) 4x MORE OUTPUT COST $10.00 Per 1M Tokens (GPT-4o) The reason? The AI write…