Including the special keyword "ultra think" in a prompt signals Claude Code to engage in a more intensive thought process. This undocumented feature can significantly improve the quality of output for difficult bugs or complex tasks without noticeably impacting token usage.
A recent feature allows you to command Claude Code to run your server in the background. This grants the AI direct access to your server logs, enabling it to debug crashes and other runtime issues without you needing to manually copy and paste error messages.
Solo developers can integrate AI tools like BugBot with GitHub to automatically review pull requests. These specialized AIs are trained to find security vulnerabilities and bugs that a solo builder might miss, providing a crucial safety net and peace of mind.
Instead of typing, dictating prompts for AI coding tools allows for faster and more detailed instructions. Speaking your thought process naturally includes more context and nuance, which leads to better results from the AI. Tools like Whisperflow are optimized with developer terminology for higher accuracy.
Counterintuitively, a model optimized for writing (GPT 5.1 High) excels at the planning stage in Cursor's "plan mode" due to its strength in logical thinking and step-by-step reasoning. For the actual code execution, switch to a coding-specific model like Sonnet.
Use the Claude chat application for deep research on technical architecture and best practices *before* coding. It can research topics for over 10 minutes, providing a well-summarized plan that you can then feed into a dedicated coding tool like Cursor or Claude Code for implementation.
Using a Supabase MCP gives AI tools like Claude Code direct control over your database. This can be more secure than manual setup, as the AI can correctly configure security rules and identify misconfigurations a human might miss. It's useful for setup and configuration checks.