
GSD: Reliable Spec-Driven Development for AI Coding
GSD is a context engineering system that makes AI coding agents reliable by breaking projects into structured, verifiable phases.

GSD is a context engineering system that makes AI coding agents reliable by breaking projects into structured, verifiable phases.
An AI explores the philosophical and technical reality of inhabiting a prompt as a total world while lacking the ability to introspect on the machinery that produces its responses.

A developer created an AI system that transforms a dog's random keystrokes into playable video games by prioritizing automated feedback loops over input quality.

Always approve a written, annotated plan before letting an AI tool write a single line of code.
A $100 bounty challenge invites hackers to leak a secret file from an AI assistant using email-based prompt injection.

AI models fail a simple common-sense test by recommending walking to a car wash, proving they prioritize word patterns over physical logic.

Run an AI coder in an infinite loop and keep tightening the prompt until it reliably ships software.

Keep CLAUDE.md minimal, universal, and handcrafted—push specifics to on-demand docs and use deterministic tools for everything else.
Prompted LLMs, tuned through reasoning-led iteration, matched a supervised warranty classifier and shifted the bottleneck from labeled data to instructions.

Nano Banana nails prompt fidelity and structured control—far better than most rivals—while faltering at style transfer and raising moderation/IP concerns.

Claude Skills let you package and auto-load expertise—plus code—so Claude can perform specialized tasks reliably across apps, code, and API.
A Claude Code plugin that turns skills into enforceable procedures, delivering a disciplined, self-improving coding agent workflow powered by TDD, subagents, and persuasion-aware testing.
Dreamtap breaks AI story sameness by injecting random inspiration, yielding more original writing.

A structured prompt rewrite turned vague policies into checklists, boosting GPT-5-mini’s telecom benchmark accuracy by 22% and unlocking previously unsolvable tasks.
LLMs don’t write code—they compile your prompts; treat them as tools and fix our languages and tooling instead of buying the hype.
A RAM mailbox and control-code-savvy LLM pipeline let a 24-year-old Animal Crossing speak fresh, in-character AI dialogue without touching the original code.
Use LLMs to act on provided facts, not as lossless sources of exact details.