BeginnerAI in production
Model quantization: how fewer bits make AI fit
Follow one weight through quantization, then see why model memory, speed and answer quality depend on more than a four-bit label.
AI in production. Reliability in practice.
Latest edition ·The cover story
IntermediateMCP explained: how AI applications reach your tools and data
Follow a question from an AI application to the software holding the answer. MCP gives tools, resources and prompts a shared interface without replacing the systems behind them.
Read the storyFresh from the publication
The latest articles
BeginnerAI in production
Your AI runs locally. What can it still send out?
A local model can keep inference on your computer. The surrounding app may still use cloud services, connected tools, telemetry and synced storage. Here is how those routes differ, and which choices actually change them.
IntermediateIncident response
PHP2Shell: the real risk behind the AI-hacking alarm
Critical PHP flaws, AI-assisted exploit research and stolen API keys are real concerns. Here is what the evidence establishes, what it does not, and how an operations team can respond without confusing a patch with a clean bill of health.
IntermediateAI in production
Eve explained: building AI agents you can operate
Eve puts an agent's instructions, tools and integrations in a project you control. Its more interesting contribution is what happens after the conversation starts.
BeginnerAI in production
What does Palantir actually do?
How Foundry, Gotham, AIP and Apollo connect information, people and operational work, and why the connections matter as much as the AI.
IntermediateAI in production
T3 Code explained: one workspace for your coding agents
T3 Code brings your coding agents, project conversations and diffs into one workspace. Learn how it works, try a small repair and understand what stays on the host.
Worth understanding
A clearer picture of AI
Explainer
How AI got from rules to reasoning models
Follow the changes in learning methods, data and compute that led to today’s models, and see why newer does not always mean better for a task.
Explainer
Linux history: the kernel, the tools and the distributions
Unix, GNU, the Linux kernel and distributions explain the cooperating layers you operate today, including what a container actually shares.
Explainer
Gemini 4 Argon: can it actually finish the job?
Google’s new reasoning model promises to stay with difficult work. Here is what that means for coding, research and investigations, and how to check the result.
Reliability in practice
Production notes
Incidents, on-call work, and the decisions behind reliable systems.
IntermediateIncident response
What MTTD misses
Separate detection from response and find delays that an improving average can conceal.
Guide
When a postmortem fix leaves part of the risk unresolved
A backup cleanup can pass its tests while an older data format remains unverified. A risk registry preserves that distinction for the next engineering decision.
Guide
The on-call work that page counts leave out
Disturbed nights, specialist help and cleanup consume capacity beyond the primary shift. A workload worksheet connects that demand to staffing and delivery plans.
Put it to work
Tools for the job in front of you
Reconstruct the response
Put incident timestamps in order and examine the intervals between failure, detection, investigation, and recovery.
Build a timelineGive the next responder a head start
Turn a known failure into a procedure with scope, actions, escalation, and recovery checks.
Build a runbookFollow the fix through
Track corrective actions alongside verification criteria and the risk that remains.
Track an actionStart learning
Start with a question. Build from there.
AI basics · 10 lessons available
What happens between a prompt and an answer?
Understand what happens between a prompt and an answer, learn how to check the result, and build a small document assistant that shows its evidence.
10 lessons ready, with practical exercises throughout.
Explore AI basicsLinux basics · 13 lessons available
Get comfortable at the command line.
Learn to operate a Linux system by building, running and troubleshooting a small service in a disposable practice environment.
13 lessons ready, with practical exercises throughout.
Explore Linux basics