Discover how to avoid common AI coding pitfalls like context loss, hallucinated APIs, and inconsistent styles when working with agentic tools like Cursor, GitHub Copilot, and Windsurf. This hands-on guide shares effective techniques for rule-based prompting, context management with version-controlled Markdown, and building a continuously improving workflow for reliable, frustration-free results.
Read MoreInitial excitement around Artificial Intelligence (AI) predictive abilities led to rapid investment in machine learning research and development of Large Language Models (LLMs) which sparked a wave of innovation in a variety of streams and at the same time revealed both the potential and limitations of early AI systems.
Read MoreWe often talk about AI in software development as a way to write code faster—but that’s only part of the story. As tools evolve, so do our workflows, expectations, and even our roles. From low-stakes experimentation through “vibe coding” to structured multi-agent systems, this blog post explores how AI-augmented programming is reshaping not just how we code, but how we think about building software altogether.
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