Building an AI GitHub Maintainer
In this stream, we're going to be building an application together from scratch using ShadCN, AI SDK, and Sentry. Today's goals.
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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!
Intelligent FinOps: AI-Informed, AI-Enabled
AI is the new frontier for FinOps maturity. It introduces fresh spend patterns and new opportunities for value. As GPUs, inference, and retraining reshape costs, FinOps maturity grows through visibility, forecasting, and shared mindset about how these workloads drive business impact. In this 2025 post, I gave my guidelines for implementing AI tagging to give business context and clarity to vague AI invoices. Now, I’m sharing the next level up: how to drive FinOps in AI with AI.
Upsun's AI story: the 5% path from pilots to production value at scale
Here’s the uncomfortable truth: most companies do not have an AI problem. They have a delivery problem wearing an AI costume. MIT’s Project NANDA research has been widely cited for a brutal headline statistic: roughly 95% of corporate generative AI pilots fail to produce measurable business impact or returns, while only about 5% break through to meaningful outcomes. (Yahoo Finance) The models are impressive. The demos are dazzling. The budgets are real.
Why MCP is becoming part of your product surface
AI assistants are quickly becoming a primary interface for how people interact with software. Developers ask them how to integrate APIs. Users ask them how products work. Buyers ask them how tools compare. Increasingly, the first explanation someone receives about your product does not come from your website, your documentation, or your sales team. It comes from an AI assistant. That shift has an important consequence that many organizations are only starting to notice.
Sync Your Users Into Icinga Notifications: Introducing the Contacts/Groups API
If you’ve ever onboarded a teammate at 4:57 PM on a Friday (or offboarded one at 4:58 PM… ), you know the pain: keeping notification contacts and groups up to date is work. With the Icinga Notifications REST API, you can automate that and avoid drift.
From Paper to App: Modern Pest Control Workflow
There's a moment every pest control business owner recognizes. When the filing cabinet is full, the paperwork takes longer than the actual service call, and you're spending more time managing documents than managing growth. That moment represents more than frustration; it signals a fundamental business constraint. The pest control software evolution reflects an industry acknowledging that paper-based workflows have become the single biggest bottleneck in field service operations that demand speed, accuracy, and accountability.
10 Best Digital Signage Software Platforms to Check Out in 2026
Looking to get your message across on screens at your office, school, or storefront? Digital signage software can help you do just that. These platforms let you manage what shows up on your displays without having to run around with USB drives or mess with complicated tech setups. Whether you run a small coffee shop with a single menu board or manage screens across dozens of locations, the right software makes all the difference. We put together this rundown of standout options to help you figure out which one fits your needs.
Top 9 Observability Tools for AI-Assisted Development & Deployment
AI-assisted development is rapidly becoming the default way software is built. Code generation, AI copilots, agentic pull requests, and automated refactoring are now embedded directly into engineering workflows. While this shift dramatically increases delivery speed, it also introduces a new operational reality: production systems are changing faster than humans can fully reason about them. This is where observability becomes mission-critical.
7 Ways Software Streamlines Training Sessions for Team Coaches
Coaching has always been about people, pace, and precise timing. Software helps coaches bring those pieces together so practice time turns into reliable improvement. The right tools reduce busywork, surface insights, and keep everyone aligned. With a few clicks, coaches can plan, teach, and adjust faster than ever.
What AI Has Never Seen: The Context Gap in Code Generation
Your AI coding assistant has read the entire internet. It knows every programming language, every framework, every best practice documented in Stack Overflow answers and GitHub repositories. It can generate a REST API handler in seconds that looks perfect with clean code, proper error handling, following all the patterns. But here’s what it’s never seen: your production traffic. Data from a real API request. Someone filling out a form with messed up or incomplete data.