How to Leverage Slash Commands to Code Effectively

Stop wasting time re-typing repetitive AI prompts. Learn how to leverage Slash Commands in tools like Cursor and Claude Code to automate WordPress development, from scaffolding unit tests to analyzing debug logs. Senior dev Ahmad Wael shares his “Golden Prompts” for building a faster, more consistent technical workflow.

Proven Automatic Prompt Optimization for Multimodal Agents

Stop guessing with your prompts. Automatic Prompt Optimization uses systematic algorithms like HRPO to refine multimodal vision agents, replacing manual trial-and-error. Learn how to implement the Opik-optimizer SDK with GPT-5.2 to improve accuracy by over 150% in production autonomous driving scenarios. A technical guide from a senior developer’s perspective.

Penpot MCP Server: AI Workflows With Real Design Context

The Penpot MCP server experiment marks a major shift in AI-powered design workflows. By leveraging the Model Context Protocol, Penpot provides a secure, structured bridge for LLMs like Claude to interact with real design data. This senior dev’s take explores why design-expressed-as-code is the only way to eliminate AI hallucinations and technical debt.

Fourier Features: Solving Spectral Bias in Neural Networks

Teaching a neural network to render the Mandelbrot set reveals a fundamental flaw in standard MLPs: spectral bias. By implementing Multi-Scale Gaussian Fourier Features, we can transform blurry approximations into sharp fractal boundaries. Learn why input representation matters more than model depth when dealing with high-frequency data and complex coordinate-based systems.

Retrieval-Augmented Forecasting: Improving Time-Series Model Accuracy

Retrieval-Augmented Forecasting (RAF) is revolutionizing time-series analysis by adding an explicit memory step to traditional models. Instead of relying on static training weights, RAF allows models to perform similarity searches on historical data, significantly improving accuracy during rare events and market shifts. Learn how to implement vector-based memory for more robust forecasting.