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A practical outline to deploy NVIDIA OpenShell locally: run one autonomous agent in an isolated sandbox, produce reproducible commits, automated tests, and safety checks.
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.
Lessons from two years at PostHog: validate agent demand by exposing a narrow, authenticated MCP server (34% of AI-created dashboards used it) before building a full agent.
A commit-gated pipeline (Prompt→LLM→Validation→Normalizer→Retry→Commit) keeps AI-generated structured files off disk until they pass schema checks, revealing schema gaps.