See how the PubHub team rebuilt its design handoff workflow with AI, using an HTML prototype as the source of truth so other teams can adapt it.
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Part 2: Storage, Search, and Agent Tooling In this blog series, we aim to share some of the lessons we learned over the past six months as we built and rolled out Air Context, a production-grade RA
An empirical analysis of coding agent distraction from legacy inline TODOs, quantifying the overhead in tokens, execution steps, and developer wait time.
Agentic E2E testing with Playwright in CI: where each agent runs, a merge gate no model touches, repair from real failures, and token budgets.
An interactive guide to the Model Context Protocol: every JSON-RPC message on the wire, step by step. Transports, OAuth, tools, resources, sampling, elicitation, tasks, tool search and codemode.
Expose ABP application services as MCP tools so AI agents can use your app, with ABP’s permissions, multi-tenancy and audit logging applied automatica...
+ a technique for 23x faster attention!
Learn how any agent—whether it's Grafana Assistant, a coding agent in your IDE, or a tool you’ve built yourself—can interact with Grafana Cloud and use your observability data to find root causes faster.
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