90% of Developers Use AI? I Call BS

Links from the Episode

• DOP 314: Building Your Speaking Career From Meetups to Main Stage
• DOP 315: Why Good Developers Spend More Time Designing Than Coding
• DOP 316: Bringing Back the Original Internet Vision Using Tailscale
• DOP 317: The Human Cost of AI Automation in DevOps
• OpenSSF warns that open source infrastructure doesn't run on thoughts and prayers
• Docker and CNCF: Partnering to Power the Future of Open Source
• Azure Kubernetes Service Automatic: Fast and frictionless Kubernetes for all
• Meet the new GKE: Extending Autopilot to all qualifying clusters
• Implementing granular failover in multi-Region Amazon EKS
• Use Raspberry Pi 5 as Amazon EKS Hybrid Nodes for edge workloads
• How are developers using AI? Inside our 2025 DORA report
• AI doesn't create organizational excellence—it amplifies what already exists.
• Introducing the DORA AI Capabilities Model: 7 keys to succeeding in AI-assisted software development
• AI isn't a Bubble, it's a Mountain
• Spec-driven development with AI: Get started with a new open source toolkit
• Spec-Driven AI Development
• Announcing a new open source project for scenario-focused AWS CLI scripts
• On vibe coded apps...
• Heroku AI Studio is Your Workspace for Smarter, Faster AI Apps
• Claude is now generally available in Xcode
• Getting Cited in LLMs: A Guide to LLM Seeding
• Announcing Tessl's Products to Unlock the Power of Agents
• AI Native Devcon
• Gitallica
• attempt - a CLI for retrying fallible commands
• Osaurus
• Claude CMD
• Agent OS
• Stop Blaming AI: Vector DBs + RAG = Game Changer
• Why Kubernetes Discovery Sucks for AI (And How Vector DBs Fix It)
• Terminal Agents: Codex vs. Crush vs. OpenCode vs. Cursor CLI vs. Claude Code
• AI Policies: From Tribal Knowledge to Automated Enforcement