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.
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.
Agents, tool calling, and the loop that makes them useful.
AI Agents
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.
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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.
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.
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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.
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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.
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AI AgentsAgent Network Access Control: Egress Is the Real Risk
An agent with a shell and open network egress can exfiltrate anything it can read. How to scope outbound access without breaking the toolchain.
ReadAI AgentsAgent Observability Metrics That Actually Predict Failure
Averages hide every interesting agent failure. Which counters and histograms to define, what to use as the denominator, and how to alert without drowning in noise.
ReadAI AgentsAgent Permission Models: Who Decides What a Tool May Do
Per-call prompts, session grants, capability scoping and policy engines. How the main agent permission models behave once real work runs through them.
ReadShowing 1–12 of 74 articles