ExplainerAI in production
Bit-exact decoding turns inference speedups into testable changes
Compare reference and speculative paths for token-level equivalence, then run a separate capacity trial so speed cannot conceal a serving-contract change.
AI in production. Reliability in practice.
Latest edition ·The latest analysis
Scheduled AI work needs an execution contract
Bind the schedule to a model, tools, input state, destination and acceptance evidence, then reconcile the actual run before retrying or declaring success.
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GuideAI in production
Build an inference compatibility suite before changing the runtime
Pin the model artifact, template, runtime and hardware, then exercise fixed protocol tests and preserve raw differences before approving a serving change.
ExplainerAI in production
Coding agent benchmarks: what actually won?
A coding agent's tools and testing policy help determine its benchmark result. Understand what was compared before choosing a setup for your team.
ExplainerAI in production
Long agent sessions need a prompt-cache SLI
Measure cached input against total input, locate the prefix miss boundary, and judge cache changes beside latency, task cost and correction work.
Field guides
Get closer
to the evidence.
Follow a request. Review the code. Find out what actually happened.
Explore the guidesKeep the traces that explain a failure
GuideObservability
OpenTelemetry tail sampling through a checkout failure
Tail sampling selects recorded traces by error, latency and other evidence. A checkout timeout shows how routing, waiting time and memory affect the trace a responder can retrieve.
Give AI code review a useful job
GuideAI in production
CodeRabbit: how to use AI code review
CodeRabbit brings AI feedback into pull requests, editors and the CLI. A retry loop that exceeds its caller’s deadline shows the kind of finding that can repay review time.
Recover when a tool call times out
GuideAI in production
Recovering an automation write after a timeout
A missing response can leave a worker already created. Durable operation IDs and the destination’s idempotency contract let a replacement executor recover the original request.
Put it into practice
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More working plan.
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Find the right AI tool for the job.
Coding assistants, code review and agent supervision.
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