AI Coding Assistants
359 episodes · Page 3 of 15
#4991: Self-Healing Codebases: Can AI Fix Bugs Autonomously?
How far are we from AI systems that fix their own bugs without human intervention? The answer might surprise you.
#4980: Can You Learn to Code Backwards?
When AI writes your code, do you still learn? Aviation, atrophy, and building a mental model from scratch.
#4976: Building a Procurement Agent That Actually Works
How to encode the weird, undocumented skills technical buyers use every day into an AI agent that won't get you audited.
#4902: Backward Batching: Fixing Slow Uploads Without Blocking Users
How one developer used background threads and deferred AI processing to fix a cataloguing workflow.
#4832: Your AI Memory Should Be Markdown Files
Why your AI project memory should live in Git-tracked Markdown files, not a proprietary platform.
#4829: Why Can't You Filter by Bluetooth on Amazon?
Technical buyers waste hours hunting specs. AI might finally fix e-commerce filtering.
#4826: Schema Design Is an Art Form
Why AI-generated schemas skip the thinking that makes databases survive contact with reality.
#4825: Russian Dolls: Skills, MCPs, and Plugins
When to use a skill vs MCP vs plugin in Claude Code — and when to keep it simple.
#4815: Agent Framework Lock-In: What Actually Breaks
Code-defined vs visual builders. LangGraph vs CrewAI. How portable are agent workflows really?
#4814: The Manager Agent Nobody Sees
How supervisor agents orchestrate AI pipelines without generating content—and the three ways they fail.
#4800: The CLI That Powers Half the Internet's Video
How a French programmer's side project became the invisible engine behind YouTube, VLC, and OBS.
#4791: When AI Critiques Our Terminology
Can AI spot conceptual sloppiness in how we describe it? A podcast moment reveals something unexpected.
#4786: Markdown vs Vectors for Agent Memory
Why coding agents need two kinds of memory — and why mixing them creates a sync nightmare.
#4760: Context Window Management: Cutoff vs. Compaction
Trailing cutoff or auto-compaction? How to manage Claude Code's context window without losing critical information.
#4753: Cookies as AI Credentials: The Auth Problem
How to get browser cookies into an AI agent's hands — and why they expire so fast.
#4752: How AI Agents Map Websites to Build Stable Plugins
An AI agent explores DOM and network layers to build self-healing browser plugins.
#4713: MCP vs Browser-Use: The Agentic AI Showdown
Two patterns are fighting to define how AI agents interact with software. Which one wins shapes the next decade of building.
#4712: Codex vs Claude Code: The Real Agentic Coding Showdown
Benchmarks, model variants, and MCP setups — which coding agent actually wins where it matters?
#4702: Two Books, One AI Podcast: The Full Archive
Hilbert turned the entire My Weird Prompts archive into two physical books — the full production docs and all 4,620 episode descriptions.
#4701: Why Claude Code Re-Introduces Itself to Your Repo
Claude Code remembers your preferences but not your codebase. We explore why that's by design and how to work around it.
#4700: Browser Agents: Three Paths to One Protocol
How screenshot watching, dev-tools extensions, and native MCP in Chrome are converging — and what wins.
#4699: The Hidden Engine: What Makes Claude Code Tick
Is it the model or the harness? We break down the invisible scaffolding that turns LLMs into real agents.
#4690: Typst for Agents: Programmatic PDF Generation
How Typst's function-based design makes it the ideal document engine for AI agents generating professional PDFs.
#4686: How Claude Code's Patience Works: Fork, Wait, and the Transcript Stack
Claude Code's "waiting" is an illusion. We break down the Unix primitives behind its background task system and where the analogy cracks.