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
BeginnerMCP 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
An attacker may make a vulnerable PHP web worker run their code and reach its credentials. Follow the runtime fixes, later notices and separate investigation needed before calling the service recovered.
IntermediateAI in production
Eve explained: building AI agents you can operate
An engineer returns to a waiting investigation. Eve supplies the saved conversation and callable tools; the team supplies the connections and decisions that make them useful.
BeginnerAI in production
What Palantir does, from a factory question to a recorded decision
See how a factory planner joins stock and schedules, considers moving an order, and confirms the change—and what maintaining that shared workflow requires.
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 explains why one machine has several identities
Unix, GNU, the Linux kernel and distributions contribute different pieces. Use that history to find which layer owns a missing command or system behavior.
Explainer
Give Gemini 4 Argon a migration you can actually check
Understand Argon’s model, context and API costs, then compare its handling of a bounded migration or investigation with the tool you already use.
Reliability in practice
Production notes
Incidents, on-call work, and the decisions behind reliable systems.
BeginnerIncident response
What MTTD misses
Separate detection from response and find delays that an improving average can conceal.
Guide
Keep the unfinished risk visible after the fix ships
A completed cleanup can improve backups while an older format remains unverified. Track delivered work and the remaining exposure as separate decisions.
Guide
The on-call work that page counts leave out
Two rotations can have the same page count and very different mornings. Follow the hours, specialist help and cleanup before deciding whether on-call work fits.
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