Skills
AI Governance & Responsible AI
Governance frameworks, ethical principles, and practical safeguards for building and deploying AI products responsibly. Covers bias detection, prompt injection security, trust architecture, regulatory compliance, and the organizational structures needed for responsible AI. Drawn from practitioners at Humanloop, Equality AI, Deepchecks, and others.
- +11
Founder & CEO Leadership
The operational and interpersonal skills technical founders need as they scale from builder to CEO. Covers board management, co-founder dynamics, crisis communication, executive decision-making, managing through downturns, and culture scaling. Drawn from practitioners at PostHog, Acompli, LaunchDarkly, and others.
- +20
Agentic Engineering
How teams build software when AI coding agents write the code: directing agents, what code review and validation become when code is nearly free, durable systems with disposable code, orchestrating many agents, keeping them safe inside an organization, and how roles change. Drawn from practitioners at HumanLayer, Sentry, Honeycomb, Google DeepMind, and others.
- +15
Resilience Engineering
The organizational side of reliability: learning from incidents, sociotechnical analysis, chaos engineering philosophy, and the limits of purely technical approaches. Covers incident analysis methods, safety culture, adaptive capacity, and building organizations that learn from failure. Drawn from practitioners at Netflix, Stripe, Honeycomb, Jeli, and others.
- +17
Content from the Library
Third Loop Ep. #10, The System Is More Than the Code with Charity Majors
On episode 10 of Third Loop, the Progressive Delivery team speaks with Honeycomb co-founder and CTO Charity Majors about observability, AI, and the changing economics of software development. They explore a future where code is increasingly disposable and regenerable while architecture, constraints, production behavior, and promises to users become the durable artifacts that matter. Along the way, Charity shares her perspective on responsible AI adoption, engineering in nondeterministic systems, and why production remains the ultimate source of truth.
Agent-Led Trust and Safety
Agents can write, review, and ship code — but how accountable can we be for systems we never fully scrutinize? This panel uncovers what it takes to let agents loose on production systems without losing sleep: permissions, observability, and the guardrails keeping it all from imploding.
O11ycast Ep. #89, Software Is the Killer App for AI with Bryan Cantrill
On episode 89 of o11ycast, Ken Rimple and Charity Majors are joined by Bryan Cantrill. They dive into the origins of observability, the realities behind AI productivity gains, and the tension between cloud convenience and infrastructure control. The discussion highlights how major tech shifts often look obvious only in hindsight.
