The model that decides instead of chatting. Tech & AI Weekly by Eli, October 02 2026
Jev and Strands Decider launch a new kind of decision model, three frontier labs ship in days, and prices fall across the board.
Jev and Strands Decider launch a new kind of decision model, three frontier labs ship in days, and prices fall across the board.
Record why an agent decided, live, with zero tool changes. Store the traces in Neo4j with the official SDK and run the reverse audit a flat store can't express
Berkeley's harness-tax study found the same model costs up to 5x more depending on the harness. Plus: the best coding agent fails 60% on unseen code, and GitHub rewrites the Copilot runtime in Rust using Copilot.
Semantic caching for AI agents fixes something that should embarrass all of us: an agent paying full...
Memory poisoning is the attack a prompt injection leaves behind: one malicious message that your AI...
El prompt caching solo descuenta tokens de entrada. Descubre dónde puede cachear un agente de IA y añade cachés semántico y de razonamiento que recortan el cost
Sierra's benchmark asked coding agents to build a working AI agent. The best passed 23.9%, and one sentence about architecture took another from 31% to 67%.
Prompt caching only discounts input tokens. Map where an AI agent can cache and add semantic and reasoning caches that cut agent costs up to 85%.
Everyone is racing to make agents remember more. Bigger context windows, longer histories, a vector...
The harness added 36 points to GPT-6 Astra's benchmark. Also: what agent memory should throw away, DoorDash's 130K agent tasks, Kiro Crew goes open source, and pnpm 12 in Rust.
Anthropic released a spec for AI agents to control physical lab equipment. Also: self-improving AI, AWS AgentCore Evaluations, Meta's custom silicon, and a $40k hackathon.
📦 Clona y dale ⭐ a stop-ai-agents-losing-memory-sample-for-aws Los agentes de IA acumulan hechos...
📦 Clone and ⭐ stop-ai-agents-losing-memory-sample-for-aws AI agents accumulate facts across...
AI agent observability means capturing your agent's reasoning cycles, tool calls, and token usage as...
Amazon DynamoDB Vector Search GA: add a vector index to an existing table. Same accuracy as S3 Vectors, single-digit ms latency, data and embeddings collocated.
Amazon DynamoDB Vector Search GA: agrega un índice vectorial a una tabla existente. Misma precisión que S3 Vectors, latencia de un solo dígito en ms, vectores y
Two weeks of AI in one edition: context engineering from 35% to 98%, Meta's local 30B agent model, a shared plugin standard backed by five companies, and Anthropic's dream memory.
Keyword search misses intent questions. Semantic search finds them. Add vector search to AI agent memory with FAISS or S3 Vectors, benchmarked.
La búsqueda por palabras clave pierde preguntas de intención. La búsqueda semántica las encuentra con FAISS o Amazon S3 Vectors, medido.
Detecta alucinaciones en agentes de IA sin datos etiquetados. Detección LSC zero-shot,...
Claude Fable 5 falla en Amazon Bedrock con un error 400 antes de procesar un solo token: "data...
Here's a test most AI agents fail. A brand-new user searches flights, books one in business class, and asks what you recommend based on what you know about me?
Tu agente de IA funciona perfecto en el demo. Luego un usuario real regresa al día siguiente y el...
Stateless MCP lands, GPT-5.6 drops 80% in price, Claude Opus 5 ships, and 151 builders built 37 agent projects in one day.
Agent architecture over model choice: the context layer, converging agent platforms, Anthropic's $1.5B settlement, Kimi K3, and AI agent memory types.
Your AI agent works beautifully in the demo. Then a real user comes back the next day, and the agent...
Stripe benchmarked where agents fail, agents outspending humans, and the evidence-packet future of agent observability.
💻 Todo el código de esta serie está en un solo repo: resilient-agent-harness-sample-for-aws. Este...
Un pipeline RAG fintech envenenó su propio vector store y el validador LLM-as-a-judge aprobó cada alucinación. La solución: validar las escrituras con código.
A fintech RAG pipeline poisoned its own vector store and the LLM-as-a-judge validator approved every hallucination. The fix: gate writes with code.
This week: a RAG pipeline that poisoned its own vector store, GitHub's AI agent tricked into leaking private repos, GPT-5.6, and what I'm digging into next: graph-based memory for agents.
💻 Todo el código de esta serie está en un solo repo: resilient-agent-harness-sample-for-aws. Este...
💻 Todo el código de esta serie está en un solo repo: resilient-agent-harness-sample-for-aws. Este...
💻 Este es el inicio de una serie. Todo el código está en un solo repo:...
💻 Todo el código de esta serie está en un solo repo: resilient-agent-harness-sample-for-aws. Este...
Claude Fable 5 returns to Bedrock, Sonnet 5 lands on AWS, and AgentCore memory gets metadata filtering. This week in tech and AI.
This week: AgentJacking hijacks Claude Code, Cursor, and Codex through a fake Sentry bug report, new research on why models confuse trusted and untrusted text, Strands chaos testing, AWS Blocks, and Lambda MicroVMs.
When an AI agent reads untrusted content (a web page, a document, an email), a hidden instruction can ride in, get stored in the agent's own memory, and fire in
An AI agent that's flawless in the demo can still fall apart the first time a tool fails in production: a timeout, a network error, a response that comes back c
A static AI agent re-reasons the same kind of task from scratch every time, burning tokens and sometimes getting it wrong differently on each run. A self-improv
When an AI agent hallucinates a fact, the real damage starts when it writes that fact to memory and re-reads it as trusted context every session after, compound
On a multi-step task, an AI agent will trust a tool that reports success even when the work silently never saved, and then confidently report the whole task don
This week: I published my book on AI agents that don't hallucinate or waste tokens, Strands cut agent costs in half, GLM-5.2 open weights, and the agent launches from AWS Summit New York.
Un agente de IA tiene dos tipos de memoria: conversación (semántica) y contexto (referencia exacta). Mantenlas separadas con Strands y AgentCore.
An AI agent has two kinds of memory: conversation (semantic) and context (exact reference). Keep them separate with Strands and AgentCore.
Welcome to my very first newsletter!
Tu agente de programación con IA alucina APIs de AWS porque está adivinando con datos de...
AI coding agent hallucinates AWS APIs because it's guessing from training data frozen in the...
Detect AI agent hallucinations without labeled data. Zero-shot LSC detection, claim decomposition, and real-time guardrails. Python code included.
Los loops de razonamiento en agentes de IA ocurren cuando un agente llama a la misma herramienta...
Evalúa la calidad de agentes IA con LLM-as-Judge y análisis de trayectorias. Detecta fallos silenciosos, tokens desperdiciados y alucinaciones antes de producci
Evaluate AI agent quality with LLM-as-Judge and trajectory analysis. Catch silent failures, wasted tokens, and hallucinations before production. Python tutorial
Las herramientas MCP congelan a los agentes de IA cuando las APIs externas son lentas, causando...
Al evaluar AI agents, la elección del framework determina tus puntajes. Ejecuta pruebas idénticas en...
How to Evaluate AI Agents, Compare Strands, PydanticAI, and DeepEval for AI agent evaluation. Same test cases, same rubrics, different frameworks. Code examples
El desbordamiento de ventana de contexto** ocurre cuando las salidas de herramientas de un agente de...
Strands Agents provides native telemetry and cost tracking out of the box. Stop writing custom token...
Strands Agents proporciona telemetría nativa y seguimiento de costos desde el primer momento. Deja...
Cuando le pides a un asistente de IA como Kiro (el asistente de IA de AWS), Claude Code o ChatGPT...
When you ask an AI assistant like Kiro (AWS's AI coding assistant), Claude Code, or ChatGPT to...
Los agentes de IA no fallan como el software tradicional: no se bloquean con un stack trace. Fallan...
AI agents get stuck in reasoning loops, calling the same tool repeatedly. DebounceHook and clear SUCCESS states break the loop. Runnable demo included.
MCP tools freeze AI agents when external APIs are slow, causing 424 errors. The async handleId pattern returns immediately with a job ID and polls for results w
AI agents fail silently when tool outputs exceed the context window. The Memory Pointer Pattern stores data externally and passes references.
La mayoría de los guardrails para agentes hacen una sola cosa: bloquear. El agent choca con una...
Build an AI chatbot that remembers users across WhatsApp and Instagram using Amazon Bedrock...
Los agentes de IA pueden alucinar el éxito de una operación incluso cuando violan reglas de negocio....
Deploy 5 production-ready techniques to stop AI agent hallucinations using Amazon Bedrock AgentCore, DynamoDB steering rules, Lambda tools, and Graph-RAG with N
AI agents don't fail like traditional software — they don't crash with a stack trace. They fail...
Cuando los agentes de IA tienen muchas herramientas similares, a menudo seleccionan la incorrecta y...
4 tecnicas para detener las hallucinations en AI agents: Graph-RAG para recuperacion precisa de datos, seleccion semantica de tools para elegir la herramienta correcta, guardrails neurosimbolicos para aplicar reglas de negocio, y validacion multi-agent para deteccion de errores.
4 técnicas para detener las hallucinations en AI agents: Graph-RAG para recuperación precisa de...
Un agent que alucina durante la ejecucion es catastrofico: podria fabricar parametros de API,...
AI agents fail silently. They confirm operations that never completed, return success when tools...
Most agent guardrails do one thing: block. The agent hits a rule, the workflow stops, and the user...
AI agents can hallucinate operation success even when they violate business rules. They confirm...
When AI agents have many similar tools, they often select the wrong one and consume excessive tokens...
Traditional RAG makes AI agents hallucinate statistics and aggregations. This demo builds a travel...
4 techniques to stop AI agent hallucinations: Graph-RAG for precise data retrieval, semantic tool...
Learn to build intelligent video analysis agents in minutes using TwelveLabs Pegasus 1.2 and Strands...
🇻🇪🇨🇱 Dev.to | LinkedIn | GitHub | Twitter GitHub Repository: Strands Agent Samples Build a...
Aprende a monitorear agentes de IA en producción con Amazon Bedrock AgentCore Observability....
Learn to monitor AI agents in production with Amazon Bedrock AgentCore Observability. Zero-code...
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This article was written in colaboration Enrique Rodriguez ...
Este artículo fue escrito en colaboración con Enrique Rodriguez ...
El blog enseña a desplegar una aplicación de WhatsApp en Amazon Bedrock para chatear en...
Versión en inglés Chatea en cualquier idioma con un LLM en Bedrock. Envía notas de voz y...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Original Blog: Working With Your...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Original Blog: Working With Your...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Original Blog: Working With Your...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Blog original: Build A Translator...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Blog original: All the things that...
🇻🇪🇨🇱 Dev.to Linkedin GitHub Twitter Instagram Youtube Linktr ✅ Blog original: All the things that...
Original:...