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Force unrelated concepts together to discover emergent properties - "What if we treated X like Y?"
Integrate Bunny.net services (CDN, Storage, Stream, DNS, Edge Scripting, Shield, Magic Containers, Optimizer, Database). Use when building with Bunny.net APIs, deploying to Bunny CDN, uploading files to Edge Storage, managing video streaming, configuring DNS zones, writing edge scripts, setting up WAF/DDoS protection, deploying containers, or optimizing images. Triggers on "bunny", "bunnycdn", "b-cdn", "pull zone", "edge storage", "bunny stream".
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, animations, custom shaders, PBR materials, VR/XR experiences, games, data visualizations, product configurators.
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
Web testing with Playwright, Vitest, k6. E2E/unit/integration/load/security/visual/a11y testing. Use for test automation, flakiness, Core Web Vitals, mobile gestures, cross-browser.
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
| name | Collision-Zone Thinking |
| description | Force unrelated concepts together to discover emergent properties - "What if we treated X like Y?" |
| when_to_use | when conventional approaches feel inadequate and you need breakthrough innovation by forcing unrelated concepts together |
| version | 1.1.0 |
Revolutionary insights come from forcing unrelated concepts to collide. Treat X like Y and see what emerges.
Core principle: Deliberate metaphor-mixing generates novel solutions.
| Stuck On | Try Treating As | Might Discover |
|---|---|---|
| Code organization | DNA/genetics | Mutation testing, evolutionary algorithms |
| Service architecture | Lego bricks | Composable microservices, plug-and-play |
| Data management | Water flow | Streaming, data lakes, flow-based systems |
| Request handling | Postal mail | Message queues, async processing |
| Error handling | Circuit breakers | Fault isolation, graceful degradation |
Problem: Complex distributed system with cascading failures
Collision: "What if we treated services like electrical circuits?"
Emergent properties:
Where it works: Preventing cascade failures Where it breaks: Circuits don't have retry logic Insight gained: Failure isolation patterns from electrical engineering
