Runtime Feedback Guides
Long-form guides on shipping AI-generated code you can trust: the case for a runtime feedback loop, the wiring to build one, the new failure classes that make it non-optional, the collector-side view of how the telemetry pipeline loses signal before anyone can read it, and what you’re actually paying Datadog to index. Written for the people doing the work, refreshed as the data changes.
How to Trust What Your Agents Ship
Why AI-generated code fails in production after passing every pre-deploy gate, what your runtime platforms can’t tell you, and the four-stage architecture (distill, enrich, explain, remember) that closes the runtime feedback loop. Grounded in the 2026 survey data on the AI code trust wall.
Read the guide →The Agentic Engineer’s Guide to Runtime Feedback
Claude Code, Cursor, Codex, and Copilot all close the loop from prompt to commit; none can see what the code did after deploy. What runtime context an agent actually needs, how to wire it in through MCP, and the verified-ship workflow that replaces deploy-and-hope.
Read the guide →The Engineer’s Guide to Invisible LLM Failures
LLM APIs fail in ways that return HTTP 200: silent content filters, body-level refusals, mid-stream 529s, plus moderation verdicts dressed as validation errors. The full taxonomy, a signature table covering every error string, and the observability posture that catches what status codes can’t.
Read the guide →The Engineer’s Guide to OpenTelemetry Signal Loss
Every volume-reduction technique in the OpenTelemetry Collector decides in advance what to throw away: tail sampling, severity filters, transforms, cardinality limits. Where each one loses signal, what it costs, and the alternative, Telemetry Distillation, that cuts volume and the bill without losing the failure nobody wrote a rule for. Indexes every OTel how-to in the resource library.
Read the guide →The Datadog Bill, Decoded
Datadog bills on three volume meters: distinct custom-metric series, indexed log events, indexed spans. What drives each one, where Metrics without Limits, exclusion filters, retention filters, and archives stop, and how Telemetry Distillation removes indexed repetition beside the Agent without replacing Datadog. Keep Datadog. Send it less.
Read the guide →Skip ahead: Dstl8 is the runtime feedback platform these guides describe. Free 14-day trial, no credit card. brew install control-theory/dstl8/dstl8 && dstl8 setup