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. …
Software development trends in 2026 is being reshaped by forces that extend well beyond incremental tooling improvements. AI-assisted development, cloud-native infrastructure, and zero-trust security are no longer experimental capabilities.
See how Keyhole implemented agentic AI development using an autonomous delivery loop to build a full-stack application in 19 test-gated iterations. This real reference implementation demonstrates how autonomous agents can operate inside a governed enterprise SDLC with architectural guardrails, commit-level traceability, and test-validated delivery.
Choosing an API framework depends on both your application’s needs and your development team’s strengths. In this article, we explore Express vs FastAPI by building the same API in both frameworks and examining differences in tooling, ecosystem support, and runtime behavior.
Part 2 of my series focuses on what it took to move from “it works” to turning a prototype into a production app, something stable enough to depend on and run in production. Beyond new features, it explores the architectural decisions, infrastructure trade-offs, and real-world costs involved in turning a prototype into a production app. Many of those lessons don’t show up in code, but they are every bit as important for success once real users and real expectations are involved.