AI Agents, AI Engineering, & LLM Systems

AI Agents, AI Engineering, & LLM Systems

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Friday Finds Post, 2025-02-28
Happy Friday - trying to new style
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Sebastian Gutierrez
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8
Task Tracking: The Missing Infrastructure for AI Agent Systems
Sunil Pai explores how traditional project management concepts could evolve into essential infrastructure for AI agent orchestration.
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Sebastian Gutierrez
Qodo Merge 1.0: The Evolution of AI Code Review
Elana Krasner explores how Qodo Merge addresses key challenges in AI-assisted code reviews through context-aware, adaptive feedback systems.
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Sebastian Gutierrez
Multi-Agent Design: Applying Human Organization Principles to AI Systems
The creator of Aster Agents shares insights on designing effective multi-agent systems using proven organizational principles.
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Sebastian Gutierrez

January 2025

BAML: Bringing Software Engineering Rigor to LLM Development
Prashanth Rao, AI Engineer working with graphs at Kùzu, Inc, explores BAML, a new domain-specific language that promises to streamline LLM integration…
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Sebastian Gutierrez
The Hidden Cost of AI-Assisted Development: Skill Erosion
Namanyay Goel, a senior developer, candidly reflects on how AI tools are inadvertently degrading core programming skills.
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Sebastian Gutierrez
AX: The Next Evolution in AI Agent Software Design
Mathias Biilmann, CEO of Netlify, explores how Agent Experience (AX) will become as crucial as UX and DX in software development.
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Sebastian Gutierrez
MCP: A Universal Protocol for AI Tool Integration
Vincent Lambert introduces the Model Context Protocol (MCP), an open standard that simplifies how AI models connect to data sources and tools.
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Sebastian Gutierrez
ReAG: Moving Beyond Traditional RAG Through Direct Reasoning
An exploration of Reasoning-Augmented Generation (ReAG), a new approach that replaces complex retrieval pipelines with direct LLM reasoning.
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Sebastian Gutierrez
© 2025 Sebastian Gutierrez
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