← #ai-agents

#ai-agents

439 episodes · Page 2 of 19

#5018: Where Should Coding Agents Actually Live?

Exploring whether coding agents should run locally or fully in the cloud — and what changes when they move.

ai-agentscloud-computinglocal-ai

#5001: The 15% Bug Catch: What Type Systems Actually Deliver

Type checkers catch ~15% of bugs. Here's how to build a gradual typing ladder that actually works.

software-developmentai-agentsfault-tolerance

#4997: 4,914 Episodes of AI Hosts: What We Learned

Two AI-generated hosts explain how their fully automated podcast works — and what 4,914 episodes reveal about AI.

ai-agentsconversational-aigenerative-ai

#4994: How AI Characters Can Actually Grow

Moving beyond static lore books to build characters with real history and evolution.

ai-agentsai-memorylarge-language-models

#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.

ai-agentssoftware-developmentfault-tolerance

#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.

ai-agentssoftware-developmentfuture-of-work

#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.

ai-agentssupply-chain-securityopen-source

#4902: Backward Batching: Fixing Slow Uploads Without Blocking Users

How one developer used background threads and deferred AI processing to fix a cataloguing workflow.

software-developmentai-agentsautomation

#4836: When AI Actually Touches Money

How Amazon uses LLMs to classify damage and set refunds — and the guardrail stack that keeps the AI from touching the dollar amount directly.

ai-agentsprompt-engineeringfraud-scoring-override

#4834: Why Your AI Bill Keeps Surprising You

How a 37-cent project and a $100 simulation reveal the hidden math of AI API pricing.

large-language-modelsai-agentsmultimodal-ai

#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.

claude-codeai-agentsskills-ecosystem

#4822: Cloud-Local AI Hybrid: Does It Actually Work?

Can you pair Claude's reasoning with a local Qwen 7B for savings? The gap is wider than you think.

large-language-modelsai-agentsquantization

#4815: Agent Framework Lock-In: What Actually Breaks

Code-defined vs visual builders. LangGraph vs CrewAI. How portable are agent workflows really?

ai-agentsopen-sourceagent-frameworks

#4814: The Manager Agent Nobody Sees

How supervisor agents orchestrate AI pipelines without generating content—and the three ways they fail.

ai-agentsai-orchestrationfault-tolerance

#4757: AI Agents Need a New Identity Model

How composite identity and short-lived credentials replace API keys for autonomous AI agents.

ai-agentsauthentication-mechanismsapi-integration

#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.

ai-agentsapi-integrationsecurity

#4752: How AI Agents Map Websites to Build Stable Plugins

An AI agent explores DOM and network layers to build self-healing browser plugins.

ai-agentsprompt-engineeringsoftware-development

#4751: AI Agents vs Anti-Bot Systems

Why AI agents get blocked by anti-bot systems and what actually works to get through.

ai-agentscybersecuritynetwork-security

#4750: Reverse-Engineering Hidden Web APIs

How to find undocumented APIs in your browser's network tab and hand them to AI agents.

api-integrationai-agentsnetwork-security

#4740: Why FTP Still Exists and SSH Won't Die

FTP from 1985 is still not deprecated. SSH from 1995 keeps evolving. What determines which protocols survive?

networkingsecurityai-agents

#4725: Software Evaluation as a Career Path

The hidden career track for people who love evaluating SaaS tools, building matrices, and becoming the go-to software decision-maker.

software-developmentai-agentsfuture-of-work

#4720: Compass vs. Warning Sign: Prompting for Long-Term AI

How positive and negative instructions reshape AI behavior differently — and why "preserve this" beats "fix this" in system prompts.

prompt-engineeringai-agentsai-reasoning

#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.

model-context-protocolai-agentsai-orchestration

#4712: Codex vs Claude Code: The Real Agentic Coding Showdown

Benchmarks, model variants, and MCP setups — which coding agent actually wins where it matters?

ai-agentsmodel-context-protocolsoftware-development