← Context and Memory

Context and Memory

299 episodes · Page 3 of 13

#4786: Markdown vs Vectors for Agent Memory

Why coding agents need two kinds of memory — and why mixing them creates a sync nightmare.

context-and-memoryragai-coding-assistantsmodel-context-protocol

#4774: When a Token Isn't a Word Anymore

Images, audio, and code all use "tokens" — but they're completely different things. Here's how tokenization actually works across modalities.

transformer-architecturetraining-datagenerative-mediaspeech-recognitioncontext-and-memory

#4760: Context Window Management: Cutoff vs. Compaction

Trailing cutoff or auto-compaction? How to manage Claude Code's context window without losing critical information.

context-and-memoryai-coding-assistantsai-inferencelocal-ai

#4751: AI Agents vs Anti-Bot Systems

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

ai-securitycyberattacksauthenticationcontext-and-memory

#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-alignmentcontext-and-memoryai-evaluation

#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.

ai-coding-assistantscontext-and-memorymodel-context-protocolrag

#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.

ai-coding-assistantsai-evaluationcontext-and-memorymulti-agent-systems

#4696: Why AI Over-Explains Simple Tasks

Why does AI turn a simple request into a 24-page document? We explore the training biases and architectural limits behind AI's tendency to over-del...

ai-inferencecontext-and-memoryprompt-engineeringai-evaluation

#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.

ai-coding-assistantsai-inferencedevopscontext-and-memory

#4682: When Context Windows Grow: What Survives?

If context windows jump to 10M tokens, which AI engineering practices survive? We separate load-bearing architecture from temporary scaffolding.

context-and-memorymulti-agent-systemsragai-evaluation

#4648: Graph Engineering: AI Memory Beyond Retrieval

How linked notes and knowledge graphs are turning AI agents from memory tools into discovery engines.

ragcontext-and-memoryprompt-engineeringworkflow-automation

#4619: The Token Trap: Why AI Context Windows Confuse Everyone

Token counts are everywhere, but they don't tell you what AI can actually do. Here's what should replace them.

ai-evaluationcontext-and-memorytransformer-architecture

#4604: When Sub-Agents Overwhelm the Orchestrator

Daniel's inventory system hit a wall when parallel sub-agents flooded the orchestrator's context window. We break down the math and the fix.

multi-agent-systemscontext-and-memoryai-inferenceworkflow-automation

#4588: The Hidden Cost of Conversational AI: Why Stateless LLM Calls Matter

Why conversational AI tools are making batch document processing slower, costlier, and less reliable — and what to do about it.

prompt-engineeringai-inferencecontext-and-memoryopen-source

#4586: Fixing Stale UI: The 4-Link Chain of Data Flow

Why does a number on screen stay frozen after an upload? We trace the 4-link chain from response to redraw — and where it breaks.

context-and-memoryopen-source

#4584: Directing Context Loss: Smart Compaction Prompts

Learn how to steer Claude Code's context compaction with targeted instructions — turning a lossy default into a directed operation.

context-and-memoryprompt-engineeringai-coding-assistantsmulti-agent-systems

#4531: Grandpa Mode: A 37-Year-Old's Guide to Premature Nostalgia

Daniel's back injury becomes the launchpad for a comedic "old time grandpa" persona — here's the playbook for doing it right.

ai-alignmentcontext-and-memory

#4523: Can You Trust an AI's Summary?

Dedicated text compressors exist but aren't in production. The real problem? Nobody can verify the summary didn't drop what mattered.

context-and-memoryai-coding-assistantsai-inferencerag

#4497: Voice-First Stack Consolidation

Two transcription apps, two text expanders, no sync — and snippets about to fight each other. The path forward.

speech-recognitioncontext-and-memorysmartphonesopen-sourceproductivity

#4492: What Makes a Container Robot-Ready?

The hidden specs that turn a plastic box into something a robot can pick, read, and move at industrial speed.

ragfine-tuninghallucinationsai-biastraining-data

#4458: How Headroom Compresses Agent Context Without Breaking Outputs

A deep dive into Headroom's content-aware compression pipeline that promises 20-95% token savings without changing agent answers.

context-and-memoryai-inferenceragmodel-context-protocolopen-source

#4457: OpenViking: A Filesystem for AI Agent Memory

OpenViking unifies memory, RAG, and skills into a browsable filesystem for AI agents — no vector database abstraction needed.

context-and-memoryragmulti-agent-systemsopen-sourceai-inference

#4445: AI Agents Keep Undoing Each Other's Work

Why AI coding agents silently revert each other's fixes — and three memory strategies that prevent it.

ai-coding-assistantscontext-and-memorymulti-agent-systemsragdevops

#4374: How AI Agents Finally Made the Terminal Accessible

How Claude Code removes the memory tax that kept neurodivergent users from living in the terminal.

ai-coding-assistantslocal-ailinuxcontext-and-memory