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Mastering AI Prompts: How to Get the Best Out of SQL Prompt AI | The Tony and Tonie show Ep41
How to get the most value from SQL Prompt AI in day-to-day work, whether you're writing new queries or improving existing code. A little prompt-writing knowledge goes a long way with SQL Prompt AI. Tony and Tonie discuss how to build reusable prompts that give the tool the context it needs to return useful results first time.
AI Coding Agents Break What Works
Your AI coding agent just made every test pass. Ship it, right? Not so fast. A growing class of AI-generated bugs doesn’t come from writing bad code. It comes from the AI changing working code to accommodate its own mistakes. This isn’t a theoretical risk. It’s happening now, in production codebases, and it’s harder to catch than any bug the AI might introduce from scratch.
The SaaS Paradox: Why Companies Must Spend More On AI To Survive
At SaaS Metrics Palooza 2025, CloudZero CEO Phil Pergola delivered a keynote on the software industry’s most pressing question: can SaaS survive the AI revolution, or will AI rewrite the SaaS playbook outright? Phil’s answer wasn’t doom and gloom, but he didn’t sugarcoat the challenges. “Churn rates are up,” he told moderator Ray Rike of Benchmarkit on Oct. 9, 2025. “The payback from a customer acquisition cost perspective is taking longer.
Lightrun AI SRE: Quick Look
In this video, Dan Putman, Solution Architect at Lightrun, walks you through the power of Lightrun AI SRE. He shows how it transforms automated incident response and platform reliability by correlating signals from Monitoring tools and Incident management systems with live runtime code execution to identify and verify root causes in real time.
Claude Livecaster Is Now Open Source, Plus a Two-Voice Broadcast Mode | CircleCI Loop Lab
Claude Livecaster is now public on CircleCI Research. In this update, Ryan Hamilton walks through the newly open-sourced repo, seven built-in simulation scenarios, and a new two-voice broadcast format featuring an anchor and a field correspondent narrating the action together. The demo scenario: Pipeline Wars, six CI pipelines racing across three providers, with Claude providing live color commentary on every Docker build failure, OOM kill, and production rollout.
We Made Claude Narrate an AI Model Race Like a Sports Commentator | Loop Lab
What if you didn't have to stare at logs while your AI agent worked? In this Loop Lab experiment, Ryan Hamilton built Claude Livecaster, a tool that gives Claude a live voice to narrate long-running agentic processes like a sports commentator. The demo: six AI models (GPT, Gemini, and Claude variants) race through a CI/CD benchmark, and Claude calls the whole thing play-by-play. Rate limit hits, comeback stories, photo finishes, all of it, out loud.
Top 7 AI/ML Development Companies for Enterprise Solutions in 2026
By 2026, most enterprises have moved beyond the proof-of-concept stage of AI. A demo may be easy to deliver, but deploying an autonomous agent in a production environment introduces challenges around data sanitization, system integration, and inference cost management.
AI Cost Management: How To Track, Allocate And Optimize AI Spend
AI cost management is the practice of tracking, allocating, and optimizing the cloud infrastructure costs tied to building, running, and scaling AI workloads. It differs from traditional cloud cost optimization because AI infrastructure behaves differently at every layer of the stack. The biggest problem isn’t overspending. It’s that most organizations can’t see where their AI spending is going.