About Signal & Syntax

For years, coding blogs followed a familiar pattern: a polished tutorial, fully working code, neat explanations. That style has its place, but today’s developer reality looks different. We live in an era of pair programming, where AI is your partner from the first sketch of an idea to completion.

“This blog isn’t just about code. It’s about how we think, prompt, and build with AI in the loop.”

At Signal & Syntax, I explore that new reality:

• Prompt → Output → Fix → Learn: Posts aren’t static tutorials. They’re walkthroughs of how I use AI to explore solutions, refine them, and extract lessons along the way.
• AI as a Force Multiplier: I use modern LLMs to accelerate analysis, drafting, and prototyping—never as a substitute for human judgment.
• Domain Knowledge First: Real results come from understanding systems, users, and constraints, then encoding that context into prompts, tools, and evaluations.
• Creativity with Constraints: Every limitation is a design input. I model, simulate, and iterate with checkpoints to keep progress measurable.
• Repeatability: I favor reproducible workflows where I show the complete prompts that generated the code examples in each post.

This lens shapes the posts you’ll find here: hands-on guides, simulations, annotated prompts, and tools that turn insight into working software.

New here? Start with Should You Walk or Run in the Rain? to see the methodology in action, or dive into How LLMs Read Code for a deeper exploration of AI fundamentals.