ExplainerAI in production
What Kimi K3’s million-token context offers SRE teams
Kimi K3 can keep a larger incident record in view. Its practical value depends on evidence handling, agent integration and the cost of useful investigation.
Articles
Guides, news and explanations about AI and reliable systems.
GuideObservability
Tracing an AI request through Cloudflare and its origin
Follow a slow AI request from Cloudflare to an instrumented origin, configure sampling, and verify that the trace preserves the evidence needed to investigate.
GuideIncident response
An SRE incident handoff in ChatGPT Space
A synthetic order-service incident follows a shared handoff through page edits, new findings and shift change, including the review and access work involved.
ExplainerAI in production
Why ninfer-ext’s smaller EXL3 model can run more slowly
ninfer-ext trades a smaller EXL3 file for more decoding work in its published tests. The saved memory matters when it lets a request fit that would otherwise fail.
ExplainerAI in production
Pi.dev: a coding assistant you can adapt to your work
Follow three incident files through Pi’s agent loop to a report another engineer can verify, then decide which customization is worth maintaining.
ExplainerAI in production
Jev returns typed answers for routing and scoring tasks
Jev answers supplied questions with choices, scores and probabilities. A token-rotation ticket shows how those structured outputs can fit a support router.
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.
GuideAI in production
Recovering an agent task after OpenShell containment
OpenShell can stop an agent after Kubernetes has accepted its scaling request. Recovery then depends on the Deployment state, available replicas and customer-facing result.
GuideAI in production
Meta Muse keeps research and connected tasks running
A release-note digest and a changed maintenance event show two uses of Muse’s persistent agent: gathering information over time and preparing a connected-account update.
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.
GuideAI in production
Prompt caching: measure the cost of useful work
What prompt-cache hits save once retries and failed work are included in task cost, with a local calculator and ledger.
GuideAI in production
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.