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AI Coding Assistants

360 episodes · Page 9 of 15

#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

#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

#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

#2114: 2026 ERP: From Filing Cabinet to Autonomous Core

In 2026, ERP systems have evolved from digital filing cabinets into autonomous, AI-driven cores that predict and execute business decisions in real...

multi-agent-systemsworkflow-automationai-coding-assistantscontext-and-memory

#2111: From Bricklayer to Foreman: AI's Dev Role Shift

AI frameworks are exploding while languages stay stable. Learn why core dev knowledge is shifting from syntax to systems thinking.

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#2109: AI Is Forcing You to Use React

AI tools are reshaping developer stacks, favoring React and Postgres over niche frameworks.

ai-coding-assistantstraining-dataai-biasopen-source

#2102: Why Don't You Notice AI Security Delays?

Multi-layer security checks add latency, but modern CLIs hide it under 100ms using parallelization and speculation.

ai-coding-assistantsmodel-context-protocolai-securityai-inferencecyberattacks

#2075: AI Agents for Israel: Hyper-Local Skills in Action

How reusable AI "skills" are solving real Israeli problems—from shelter navigation to tax compliance.

model-context-protocolai-coding-assistantsisraelisrael-defense-forcesemergency-alerts

#2071: Git Can't Handle AI Agents—Yet

Three AI agents in one repo is pure chaos. Here's why Git's design causes collisions—and how worktrees and locks can save your sanity.

ai-coding-assistantsmulti-agent-systemsdevopsworkflow-automationopen-source

#2069: The Vibe Coding Trap: Why Your Agent Skills Keep Breaking

Stop guessing at the agentskills.io spec. Learn the exact YAML fields, directory structure, and authoring patterns to make Claude Code skills that ...

ai-coding-assistantsprompt-engineeringai-evaluationopen-source

#2043: From Wrappers to State Machines

Skip no-code traps. Learn the real stack for building agentic AI: Python, TypeScript, and Rust.

multi-agent-systemsai-coding-assistantsprompt-engineeringprogramming-languagesworkflow-automation

#2039: CLIs vs. MCPs: How AI Agents Actually Talk to Services

Why give an AI agent a terminal? We compare CLIs and MCPs for AI integration.

model-context-protocolai-coding-assistantsmulti-agent-systemsdevopsopen-source

#2037: The Hidden Hierarchy of Claude Code Extensions

Stop manually typing slash commands. Here’s the definitive hierarchy of Claude Code extensions—from legacy shortcuts to autonomous agents.

ai-coding-assistantsmulti-agent-systemsprompt-engineeringworkflow-automation

#2026: Prompt Layering: Beyond the Monolithic Prompt

Stop writing giant, monolithic prompts. Learn how to stack modular layers for cleaner, more powerful AI applications.

prompt-engineeringai-coding-assistantsworkflow-automation

#2022: When AI Becomes Your IT Department

We dug into a repo of 47 real-world projects showing how OpenClaw powers everything from self-healing servers to overnight app builders.

ai-coding-assistantsmulti-agent-systemsai-inferenceworkflow-automationdevops

#2021: Your Frozen AI Is Getting Smarter (Here's How)

Your AI model might be static, but the system around it can make it learn in real-time.

ai-coding-assistantsmulti-agent-systemsai-evaluationai-inference

#2014: Coding Tools Are Secretly System Agents

They call it a coding assistant, but real users are treating it like a personal operating system.

ai-coding-assistantsmodel-context-protocolprompt-engineeringworkflow-automation

#2013: Non-Coders Are Hijacking the Terminal

Why finance analysts and researchers are ditching GUIs for command-line AI tools like Claude Code.

ai-coding-assistantsprompt-engineeringmodel-context-protocolcontext-and-memory

#2012: Pixels vs Protocols: The Computer Use Showdown

Is visual AI a bridge or the future? We debate the efficiency and longevity of "Computer Use" agents versus API-first automation.

model-context-protocolai-coding-assistantsai-inferenceworkflow-automation

#2005: Beyond Vibes: The Hard Science of LLM Evaluation

Running the same LLM on different GPUs can produce different results. Here’s why that happens and how to test for it.

ai-evaluationhallucinationsai-inferencegpusai-coding-assistants

#2003: The Velocity Paradox: Why Faster Code Means Slower Ships

Agentic coding tools let you build features in minutes, but they also make it easy to build the wrong thing.

ai-coding-assistantsworkflow-automationproductivityprompt-engineering

#1993: Hiding the Kitchen: Why AI Shouldn't Show Its Work

Why single-model chatbots fail at complex tasks—and how multi-agent swarms solve it.

multi-agent-systemsai-coding-assistantscontext-and-memorymodel-context-protocol