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.
Where an app should ask for a second factor: every login path, risky changes, admin elevation and new devices, plus risk signals and how to avoid fatigue.
Fine-tune only after evals show prompting and context fall short. A plain decision guide with the cases where training a model actually pays off.
AI test generation is not always the right tool. Five situations where writing tests by hand, or not at all, gives better protection for the effort.
Settings Sync copies more than settings: installed extensions, MCP server configs and profiles too. See what syncs, what does not, and how to exclude.
The integrity hash in package-lock.json detects a tarball changed after locking, not a bad version you locked. See the limits and a diff review routine.
Matter is an IP based smart home standard from the Connectivity Standards Alliance. What it is, what it runs on, and what it does and does not promise.
LoRA freezes the base model and trains small low-rank matrices, cutting trainable parameters and memory. What it means in practice and its limits.
GGUF is a model file format for local inference, and quantization shrinks weights to fewer bits. What the Q4 and Q8 names mean and what to test.
Cowork brings Claude Code style agent work to non-terminal tasks. Plans, cloud versus local sessions, usage cost and current limitations, from Anthropic.
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