InoviqLab Content
InoviqLab content in AI and Software Development.
Learn how to track AI agent tool executions, MCP calls, approval decisions, token usage, errors, and costs with privacy-first observability.
Architect provider-resilient AI applications using provider adapters, model registries, evaluation suites, and fallback strategies.
Understand Agent Plugins 1.0 specification: portable Agent Skills, MCP server manifests, reverse-domain namespaces, and governance.
A technical evaluation framework detailing 10 critical domains where human code review is indispensable for AI-generated code.
Architect a multi-stage pull request review pipeline leveraging deterministic CI checks, static analysis (CodeQL), AI code reviewers (Copilot/Codex), and final human approval.
A cost governance guide for AI coding assistants using token budgets, agent sessions, model selection and team-level limits.