The AI Software Engineering Revolution, feat. Anthropic
In this episode of Grafana's Big Tent, hosts Mat Ryer (Senior Director of AI, Grafana Labs) and Tom Wilkie (CTO, Grafana Labs) sit down with Eric Burns, Field Executive Architect at Anthropic, to talk about building trust between tech and business execs, why Anthropic bet early on running across every major cloud, and what it was like watching large language models go from "interesting" to "obviously the future" in real time.
The conversation ranges from the earliest goosebumps moments of natural-language UI generation, to Claude writing better MCP servers than humans, to the very real question of whether engineers should still be reading code at all. Along the way: coding on planes, instrumenting a Zigbee mesh with Claude Code, why "recovering engineers" are getting their dopamine hits back, and whether a human reviewing an AI's code is adding value or just getting in the way.
3 Apr 2026
Building Better Go Systems with Logs, Context, and Profiling
In this episode of Grafana’s Big Tent, host Mat Ryer is joined by Donia Chaiehloudj (Isovalent), Charles Korn (Grafana Labs), and Bryan Boreham (Grafana Labs) to break down how to make Go applications observable from day one. The discussion covers logs, slog, tracing with context, errors, pprof, continuous profiling, and eBPF.
27 Feb 2026
Agents in Production: The Future of AI-Driven Observability
In this episode of Grafana’s Big Tent, host Tom Wilkie is joined by Spiros Xanthos (Founder & CEO, Resolve AI), Manoj Acharya (VP of Engineering at Grafana Labs), and Cyril Tovena (Principal Software Engineer, Grafana Assistant team) to explore the rapidly evolving world of agentic AI in production systems. They dig into automated root cause analysis, knowledge graphs, and how AI agents are beginning to operate alongside — and sometimes ahead of — human engineers. The conversation tackles trust, pricing models, data privacy, and whether we’re approaching a future where incidents resolve themselves. Plus: Tesla autopilot analogies, AI-written performance reviews, and what’s next beyond observability.
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Apple Podcasts (US)
5.0 / 5
8 ratings
Spotify
5.0 / 5
24 ratings
Podcast Authority Score: 33 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
45
Social presence
0
YouTube
0
Engagement
51
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