Showing 1-12 of 19
A practical smoke-test for nanosamurai: an open-source, self-hosted speech AI. Clone the repo, use the docker-compose starter and confirm a 30‑second transcript locally.
Local-first wall-clock profiler that identifies machine-blocking stalls in AI agent loops: builds, tests, CI, containers. Run a checksum-verified binary to audit local traces and GitHub Actions.
Use Tracelint to statically analyze saved agent execution traces and surface reproducible evidence for ignored tool errors, schema violations, and loops—plus CI rollout tips.
Use CortexBrain to add lightweight observability to distributed AI agents. Start the repo's local example, add basic metrics, import the dashboard, and spot issues fast.
Sitrep is an open-source AI incident copilot that watches your screen, deduplicates tiles, and links screenshots to Grafana traces/logs for evidence-backed answers. Demo ~2 hrs.
Guide to attach Causari's MCP to an AI coding agent so prompts, model IDs, file reads/writes and reasoning are recorded with bidirectional causal provenance for trace, revert and bisect.
Rafael Lopes argues scaling agents breaks on engineering, not LLM limits: build deterministic guardrails, connectors for unstructured enterprise data, and resilient orchestration.
Practical guide to turning traces, logs, and metrics into compact incident packages so AI debugging agents reason, not filter noise—plus safe read-only and approval-first practices.
Build a repeatable harness that records agents' plan steps, API calls, retries, tokens, wall time and cost to reveal friction points in your library and guide rollout decisions.
Step-by-step guide to run GraphOS locally to capture and inspect LangGraph agent traces, find prompt or tool errors, and debug privately before cloud deployment.
Step-by-step guidance to add two guardrails around each LLM call: pre-LLM redaction/blocking to stop PII leakage and post-LLM verification to catch hallucinations before users see them.
Quickstart to run agent_debugger locally: capture and replay agent sessions, index recurring failures into a searchable memory, and surface smart highlights and drift—see the repo for commands.