Showing 1-11 of 11
Short diagnostic guide to reproduce and document new Siri failures. Run 10–15 minute tests and capture video/transcripts to prove when Siri reads old texts, mis-schedules events, or re-asks.
Laravel's Boost shows frontier AI models now pass all 17 Pest evals. The article urges teams to gate for idiomatic, maintainable Laravel and measure efficiency like 'correctness per token'.
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.
Practical playbook after OpenAI's accidental access to Hugging Face: build a deny‑egress Docker sandbox, log DNS/socket telemetry, set short human‑approved canaries and a triage checklist.
Practical Musts guide: configure a fast CI validation loop (lint, tests, commands) so AI-opened pull requests are blocked from merging until checks pass. Includes setup and rollout tips.
Use DoneSpec to convert ambiguous agent outputs into deterministic PASS/FAIL validators, enabling CI gating, automated retries, and measurable pass-rate observability.
Setup LeftGlove locally with npx to run an MCP server that wraps ShiftLefter, surfacing pages, forms and interactions for agents and humans to review, annotate, and export.
Flightplanner makes short, human-readable product specs the canonical source for end-to-end checks, reducing brittle test upkeep as AI agents raise integration churn.
Litmus records complete LLM agent executions (prompts, tool calls, outputs) so teams can deterministically replay failures, inject faults, and gate regressions in CI.
Simulate conversations across Retell, VAPI, LiveKit and Bland with Voicetest. It normalizes configs via an AgentGraph IR, scores turns with LLM judges, and adds compliance checks.
Waymo uses Google's Genie world model to build photorealistic, interactive driving environments that spawn rare edge cases—tornadoes, wildlife—so AV stacks can be stress-tested.