Development

Building software: programming, developer tools, APIs, deployment and DevOps, and building with AI (agents, MCP servers, RAG, AI coding tools). An extra channel alongside an episode's main one, so AI engineering episodes sit in both.

1145 episodes Page 37 of 58

#2171: How IQT Labs Built a Wargaming LLM (Then Archived It)

A deep code review of Snowglobe, IQT Labs' open-source LLM wargaming system that ran real national security simulations before being archived. What...

multi-agent-systemsai-evaluationprompt-engineeringopen-source

#2170: Pricing Agentic AI When Nothing's Predictable

How do you charge fixed prices for systems that operate in fundamental uncertainty? Consultants are discovering frameworks that work—but they requi...

ai-coding-assistantsmulti-agent-systemsworkflow-automationfreelancingstartups-and-venture-capital

#2169: How Enterprises Are Rethinking Agent Frameworks

Twelve major agentic AI frameworks exist—yet many serious developers avoid them entirely. What patterns emerge in real enterprise adoption?

multi-agent-systemsmodel-context-protocolai-coding-assistantsopen-sourcecloud-computing

#2168: What Serious Agentic AI Developers Actually Need to Know

Python, TypeScript, LangGraph, and the frameworks reshaping how agents work. A technical map of the skills and concepts that separate prototypes fr...

ai-coding-assistantsmodel-context-protocolmulti-agent-systemsprogramming-languagesprompt-engineering

#2167: Sync vs. Async: Architecting Agents for Scale

Why most enterprise AI agents fail in production has less to do with models and more to do with whether they're built synchronously or asynchronously.

multi-agent-systemsmodel-context-protocolai-inferenceworkflow-automation

#2166: Code vs. Canvas: How Developers Pick Their Tools

LangGraph or Flowise? The honest answer isn't obvious. Developers gain speed and integrations with visual builders—but lose version control, testin...

multi-agent-systemsai-coding-assistantsworkflow-automationopen-source

#2165: Strip Your Agent to Bash

The frameworks matter less than you think. What separates a working agent from a failing one is the harness—the orchestration, memory, and tool des...

multi-agent-systemsai-coding-assistantsmodel-context-protocolai-evaluation

#2163: Designing Autonomy Boundaries for AI Agents

Production data reveals a surprising truth: fully autonomous AI agents waste 98% of their context window on tool descriptions. Here's why the indus...

multi-agent-systemsmodel-context-protocolai-inferencecontext-and-memoryai-security

#2160: Claude's Latency Profile and SLA Guarantees

Claude is measurably slower than competitors—and Anthropic's SLA promises are even thinner than the latency numbers suggest. What enterprises actua...

ai-inferenceai-evaluationai-coding-assistantsgpus

#2158: Claude Managed Agents: Brain Versus Hands

Anthropic's new Managed Agents service runs your agent loop on their infrastructure. Here's what you gain, what you lose, and who it's actually for.

multi-agent-systemsai-coding-assistantsmodel-context-protocolcloud-computing

#2143: Simulating Geopolitics Under Asymmetric Information

A two-stage AI pipeline predicted a 4% chance the Iran-Israel ceasefire would survive a month, using Monte Carlo simulations and an LLM council.

ceasefires-and-peace-dealsiranisraelforecasting-and-wargamingai-evaluation

#2142: The Nervous System of Multi-Agent Systems

We break down the plumbing that lets a parent agent know exactly when a subagent finishes, from message passing to lifecycle events.

multi-agent-systemsai-coding-assistantsmodel-context-protocolworkflow-automation

#2141: Choosing Your Durable Execution Platform

Why building AI agents means managing infrastructure. We explore durable execution backends like Temporal and AWS Step Functions.

ai-coding-assistantsdevopscloud-computingworkflow-automation

#2139: AI Wargame Memory: Beyond the Context Window

Why simply extending context windows fails in multi-agent simulations, and how layered memory architectures preserve strategic fidelity.

multi-agent-systemscontext-and-memoryragai-evaluation

#2134: The Fog-of-War Problem in AI Wargaming

Why shared AI brains make secret-keeping a nightmare, and the four architectural patterns researchers use to fix it.

multi-agent-systemscontext-and-memorymilitary-strategyforecasting-and-wargamingai-security

#2133: Engineering Geopolitical Personas: Beyond Caricatures

How to build LLMs that simulate state actors with strategic fidelity, not just surface mimicry.

prompt-engineeringfine-tuningragai-evaluationai-alignment

#2132: The Referee's Dilemma: Epistemic Containment in LLM Simulations

Why do AI war games need a news blackout? We dissect the firewall that keeps LLM actors from cheating with real-world data.

multi-agent-systemsai-evaluationhallucinationsai-alignment

#2131: The CIA Is on GitHub

In-Q-Tel is on GitHub. Explore the IC's strategic investment arm and its use of open-source AI for wargaming.

intellectual-propertysignals-intelligenceforecasting-and-wargamingai-evaluationmulti-agent-systems

#2129: Shifting Left on Hallucinations

Stop hoping your AI doesn't lie. We explore the shift to deterministic guardrails, specialized judge models, and the tools making agents reliable.

hallucinationsragai-evaluationai-coding-assistantsmodel-context-protocol

#2125: Why Agentic Chunking Beats One-Shot Generation

A single prompt can't write a 30-minute script. Here’s the agentic chunking method that fixes coherence.

ai-coding-assistantscontext-and-memorymulti-agent-systemsprompt-engineeringai-evaluation