Over the past year, we’ve had a lot of conversations with developers and engineering leaders asking the same question: “Is AI going to replace software engineers?” It’s a fair concern. AI coding tools can now generate code, write tests, and handle implementation work that used to take hours. But that’s not what we’re seeing in real enterprise software development environments …
Inside Anthropic’s Emerging Partner Ecosystem: What Keyhole Is Seeing and Applying in Enterprise AI
Keyhole Software was selected to participate in Anthropic’s emerging ecosystem and invited to the 2026 Partner Summit. Here is what we are seeing firsthand and how we are applying it in real enterprise AI development and software delivery. AI vendors are no longer just releasing models. They are building ecosystems. Anthropic is at the forefront of this shift, building an …
Learning JavaScript After Java: 3 Key Reminders for Developers (From “Car” to “Carpet”)
In this post, I’ll walk through a few key reminders that helped me while making the transition from Java to JavaScript, especially while working with React and React Native.
AI Software Development Costs 2026: Enterprise Spending, TCO, and ROI Analysis
2026 analysis of AI software development costs exploring enterprise spending trends, total cost of ownership (TCO), build-vs-buy decisions, and how AI-accelerated development is reducing delivery timelines and improving ROI for CTOs and engineering leaders.
Mobile App Deployment in the Real World: Subscriptions, Services, and Platform Realities (Part 3)
Mobile app deployment is where many promising ideas start to encounter real-world friction. What worked as a prototype suddenly has to meet the expectations of app store ecosystems, subscription models, and an increasingly complex stack of services. In this third part of the Pennies-AI journey, we’ll explore what it actually takes to navigate the maze of mobile deployment and monetization. …





