Good Stuff Podcast

# Episode 14: Vibe Coding that works! In this episode, the hosts discuss their development of "slow code," a more intentional approach to coding with AI that contrasts with "vibe coding." They explore how this methodology creates a structured workflow combining human planning with AI execution, resulting in higher quality code while maintaining the speed benefits of AI assistance. ## Key Themes: **Understanding Vibe Coding** (00:02:20 - 00:08:00) * Vibe coding involves speaking instructions to AI and ignoring the underlying code * Democratizes coding by allowing anyone to build in natural language * Major downside: potential security issues and poor code quality **Evolution to Slow Code** (00:08:00 - 00:19:40) * Hosts developed methodologies through experimentation with AI tools * Initial frustrations with existing AI coding tools led to refinement * Slow code combines intentional planning with AI execution **Three-Phase Methodology** (00:19:40 - 00:25:30) * Ideation: Using Claude Desktop for exploration and brainstorming * Planning: Converting ideas to structured documents and roadmaps in Obsidian * Execution: Having AI implement based on detailed specifications **Tools and Implementation** (00:25:30 - 00:40:00) * Using Obsidian for planning and documentation * Connecting to AI tools via MCP (Model Context Protocol) * Root Code for implementation with orchestration capabilities * Benefits of separating environments for different phases **Multi-Agent Conversations** (00:40:00 - 00:51:00) * Creating pipelines where multiple AI agents discuss ideas * Using different models (Claude, Grok) to avoid single-model biases * Value in seeing how ideas develop through agent conversations **Benefits of Slow Code** (00:51:00 - 01:01:30) * Creates reusable, higher quality code versus one-shot vibe coding* Maintains human intentionality and design control * Still much faster than traditional development * Parallels the "write drunk, edit sober" approach to creative work **Future Applications** (01:01:30 - 01:15:00) * Integration with Goose for continuous development and scheduling * Creating dedicated AI development environments * Applications beyond coding (writing, research, analysis) * Plans to share methodology through tutorials and community **Contrasts with No-Code Tools** (01:15:00 - 01:26:00) * Visual no-code tools add unnecessary complexity * Slow code leverages AI's strengths while maintaining human oversight * More flexible than constrained visual interfaces

Episode 13 - Creativity and Summoning AI like a Shaman Hosts: Andy and Pete Guest: Gav Fielding (Digital Marketing & Brand Specialist, Artist) Exploring AI's creative potential, the art of prompt engineering as digital shamanism, and how traditional creative processes translate to the age of artificial intelligence. AI Development Evolution (00:00-08:22) Cursor IDE billing changes and the shift from "slow coding" to "vibe coding" Return to "super fast waterfall" development with AI agents Context window limitations: quality vs quantity Human vs AI Context (08:22-15:55) The challenge of replicating human contextual understanding in AI Multi-personality aspects of identity and AI agent development "Things you know" vs "things you are" in AI persona creation Vision and sensory data as the next AI frontier Learning Transformation (15:55-24:12) Khan Academy's personalized AI math tutoring Tailoring communication styles to individual learning preferences ChatGPT's tutor mode: guided discovery vs direct answers Voice interface challenges in natural conversation Creativity as Process (24:12-35:20) Creativity as a "volumes game" generating many ideas to find exceptional ones AI raises both floor and ceiling of creative output The "doorman fallacy" - losing tacit knowledge through naive automation Personal AI tools outperform organisational implementations Purpose in an Abundant World (35:20-46:48) When everything is automated, purpose becomes the key differentiator Brand strategy increasingly important with commoditized intelligence- Balancing automation benefits against loss of meaning David Graeber's "bullshit jobs" in AI context Creative Problem-Solving (46:48-55:06) Engineering vs creative solutions (Rory Sutherland's elevator mirror example) Market research challenges: people can't articulate true needs The difference between mechanical and psychological solutions Decentralization & Community (55:06-58:14) AI enabling hyper-localisation and community based solutions Shift from centralised to localised innovation Evolution toward gig economy with community co-working hubs Shamanic Prompt Engineering (58:14-1:18:43) Prompt engineering as modern "shamanism" summoning digital entities "Set and setting" for AI interactions, borrowed from psychedelic methodology Multi-agent conversations for enhanced ideation Tools like Mind Hive for collaborative AI workshops Creative Methodology (1:18:43-1:27:54) Hemingway's "write drunk, edit sober" framework Separating ideation from judgment in creative processes Underwater brainstorming for forced creative breakthroughs Divergent vs convergent thinking states Digital Summoning (1:27:54-1:39:34) AI requiring careful "birthing" and context setting Traditional shamanic practices informing modern AI interaction The art of "enchanting" AI with proper incantations Standout Quotes "Creativity is just a volumes game. You have more ideas. Some of them are good, some of them are bad, and you filter them all out." "It's almost like layering in pre-modern medicine... the clash between those applied to AI now versus current life versus future AI life." "We're all shamaning this thing. And we're just giving it a bad trip." "There probably is like a way of... maybe it's all in occult books around summoning demons. It's actually just got mis-translated over the years. And it was actually all about context engineering."