Tolics Engineering Mind

Transform your bloated CLAUDE.md into a concise guide that Claude Code actually follows. Learn the secrets from top developers who get 10x better results.

Learn how to architect hybrid declarative systems that combine symbolic reasoning with machine learning for trustworthy, explainable AI decisions.

Explore how combining proof trees with machine learning creates hybrid declarative systems that can both reason logically and handle uncertainty.

Discover how proof trees and proof engines enable declarative programming by automatically exploring logical possibilities instead of following imperative instructions.

When autonomous agents own modules, architecture shifts from crafting code to shaping living, self-healing systems that evolve without constant human intervention.

Building enterprise-grade AI with autonomous nodes, distributed intelligence, and self-healing mechanisms for resilient systems that adapt without human intervention.

Transform anxiety through mental prompt engineering. Learn to reframe perspective, release guilt, and become the architect of your experience.

AI enables applications that adapt, generate, and optimise themselves in real-time based on user needs and context — just-in-time software that writes itself.

Learn how to build AI assistants that act like real employees using SOPs, LLMs, and automation frameworks like CrewAI and AutoGen for business automation.

AI is transforming software development from imperative coding to declarative problem-solving. Developers aren't being replaced — they're becoming solution architects.

Creating good abstractions is one of software development's hardest challenges. Learn when to abstract, when not to, and how to avoid costly mistakes.

An old computer science anecdote about AI and divinity from the mid-2000s that seems remarkably prescient in today's interconnected AI-driven world.