Coding With David

  Artificial intelligence has already begun transforming how software is built. Tools like AI coding assistants, autonomous agents, and AI-driven development environments can now generate working implementations in minutes. Tasks that once took hours—or days—can often be completed in a single interaction with an AI model. This rapid acceleration raises an inevitable question for the industry: How long will it take before software engineering becomes fully autonomous? The answer is not a single breakthrough moment. Autonomous engineering will emerge gradually in stages , each one shifting more responsibility from humans to machines while redefining the role of software engineers. Understanding these stages helps organizations prepare for the changes already underway. The Four Stages of AI-Driven Software Engineering Stage 1: AI-Assisted Engineering (Today – ~2027) This is where most teams operate today. Developers use AI tools to accelerate their workflow, b...

How to use AI to Maintain Coding Standards Blazor is one of the fastest-growing .NET frameworks for building rich, interactive web applications. But when multiple developers work on a Blazor project—especially with varying skill levels—maintaining consistent coding standards becomes a real challenge. Razor files balloon to thousands of lines. Component naming conventions drift. UI structure becomes inconsistent. Architecture slowly erodes. This is where AI becomes a force multiplier. AI doesn’t replace senior developers. Instead, it automates the repetitive checking, teaching, reviewing, and refactoring tasks that drain development teams and erode quality. With the right prompts, templates, and workflows, AI can enforce architecture rules, naming conventions, component patterns, and test quality—without forcing a single "code cop" to police everyone. This article teaches you how to use AI to maintain coding standards in multi-developer Blazor projects using: AI-powered ...

Artificial Intelligence is no longer a futuristic concept—it's here, reshaping the way software is built, tested, and maintained. From AI-generated code and automated testing to innovative tools like GitHub Copilot, developers are experiencing a seismic shift in the daily workflow. In this post, we explore how AI is revolutionizing software development and what it means for developers at every level. AI-Generated Code: Writing the Future One of the most transformative trends in the industry is the emergence of AI-generated code. These intelligent systems analyze vast repositories of code, learning from best practices, and even adapting to a developer's unique style. Speed and Efficiency: AI-driven code generators can turn a high-level problem statement into working code snippets, significantly reducing the time spent on boilerplate or repetitive coding tasks. Learning on the Fly: As these systems integrate feedback loops, they improve over time—providing increasingly efficien...