Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Six controlled studies of AI coding tools, from 56% faster to 19% slower. What each measured, why they disagree, and a script to measure your own team.
People reply in about 200 ms and read 600 ms gaps as reluctance. Where a voice agent's delay goes, why sequential pipelines miss, and how to measure it.
There is no census of AI agents. What Microsoft (nearly 40 million agents registered in Agent 365), Salesforce, OpenAI, IDC and Gartner have actually published, what each figure counts, a reproducible count of the official MCP Registry (46,265 servers), and how to count the agents in your own company.
Why total AI inference demand keeps rising even as each token gets cheaper: more users, longer reasoning, agent loops and bigger prompts, with sources.
What published data says about the split between training and inference compute, why the answer differs by company, and why one clean percentage is rare.
What time to first token, inter-token latency and tokens per second mean, how they relate, and why two speed claims often cannot be compared.
The price of a fixed level of AI ability fell about 13x a year since 2023, per Epoch AI. Why frontier prices and many bills still rise, as of October 2026.
How France's nuclear-heavy grid, record power exports and 14 GW of data centre grid access fit with its AI investment pledges, with dated, sourced figures.
What Germany's power prices, Energy Efficiency Act and AI compute projects mean for data centres in 2026, with dated figures and what is still uncertain.
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