ModelsA/B Testing Two Models Without Fooling Yourself
Comparing two models on live traffic sounds simple and usually is not. Sample sizes, paired designs, and the metrics that actually settle the question.
ReadNotes on models, agents, and what inference costs
Practical writing for developers building with large language models — how they work, how to pick one, and how to keep the bill predictable.
Models
ModelsActive vs Total Parameters: The Number Spec Sheets Hide
A 2.8T model and a 27B model can be two-to-one apart on the figure that governs thinking. How to read parameter counts across the 2026 field.
Read
AI AgentsAgent Audit Logging: What to Record and What to Redact
When an agent does something surprising, the log is the only account of what happened. What a usable agent audit record contains, and what it must not.
Read
AI AgentsAgent Caching Strategies: Prompt, Tool and Result Layers
Agents resend the whole transcript every turn and re-read the same files repeatedly. Three caching layers fix that, and each has different keying rules.
Read
AI AgentsAgent Checkpointing: Saving Work a Long Session Can Lose
Long agent runs die halfway. What to checkpoint, where the boundaries belong, and why external side effects break the snapshot model entirely.
ReadAI AgentsAgent Concurrency Control: Pools, Locks and Fair Slots
Unbounded agent spawning turns a fast run into a retry storm. Worker pools, semaphores, resource locks and the fairness problem nobody plans for.
Read
Cost & PricingAgent Cost Attribution: Tracing Spend Back to a Cause
A provider bill tells you the total and nothing else. How to attribute agent spend to a team, a task and a tool call so you can act on it.
ReadAI AgentsAgent Failure Modes: A Taxonomy Worth Memorising
Agents fail in about eight recognisable ways, and each one needs a different fix. A field guide to spotting them from a trace and knowing what to change.
Read
AI AgentsAgent Fan-Out Limits: How Wide Is Too Wide
Fan-out looks free until the orchestrator stops reading results properly. The four ceilings that cap parallel agents, and how to find yours before production does.
ReadAI AgentsAgent File System Access: Designing the Blast Radius
The filesystem is an agent's most consequential tool surface. Path containment, read and write asymmetry, and why files are an injection vector.
Read
AI AgentsAgent Handoff Patterns: Passing Work Without Losing It
Every handoff between agents is a compression step. Four patterns for transferring control, what each one drops, and how to build a handoff packet.
ReadAI AgentsAgent Loop Anatomy: The Twenty Lines That Run Everything
Every coding agent is the same short loop. Understanding its structure tells you where they fail and which parts are worth engineering.
ReadShowing 1–12 of 404 articles