#Evals
65 related articles
·7 min
Previewing the AI Engineer Summit: Industry Signals of AI Engineering Reaching Maturity
An exclusive look at the AI Engineer Summit dress rehearsals, decoding the paradigm shift from research to production. A deep dive into AI Engineer challenges, RAG, agent systems, and AI engineering as a distinct discipline.
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·7 min
LLM Evaluation: The Testing Industry's Scarcest Career Pivot and the Timing to Enter
LLM evaluation roles are growing over 100% year-over-year, with top companies offering 50K/month yet unable to fill positions. This article explores how testing pros can seize the window.
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·7 min
LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures
LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.
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·5 min
A Programmer's Guide to Large Language Models: The Complete Path from Prompts to Agents
A tailored large-model learning path for ordinary programmers: from prompt engineering, API calls, and LangChain, to RAG, Agents, fine-tuning, and enterprise deployment—six steps to build AI application skills fast.
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·7 min
Agentic AI Development in Practice: Evaluation and Error Analysis Are the Real Competitive Edge
Cut through the Agentic AI hype to see the real value of agentic applications. Based on Andrew Ng's course, learn why Evals and error analysis—not framework choice—separate top developers.
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·7 min
The Complete Guide to Agent Skills: Principles, Structure & Practical Applications
Deep dive into AI Agent Skills: SKILL.md file structure, four component modules, differences from prompts, and practical scenarios for frontend generation, PPT creation, and more.
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AI Engineer World's Fair Closing Day: …
·2 min
AI Engineer World's Fair Closing Day: The Loops Debate, State of the Industry, and What to Build Next
AIEWF closing day recap: the agent loops debate, the State of AI Engineering report, and a keynote on what to build next — covering AI engineering's key divides and trends.
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Three Role Shifts for Engineers in the…
·4 min
Three Role Shifts for Engineers in the AI Agent Era: From Coders to System Designers
As AI Agents handle long-horizon autonomous tasks, engineers are shifting from writing code to setting direction, reviewing output, and designing systems around models.
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·5 min
AI-Native Team Practices: How Anthropic Engineers Achieved an 8x Productivity Boost
Anthropic's Fiona Fung shares how AI tools drove an 8x increase in engineer code output, and how AI-native teams are rethinking management, quality, and collaboration.
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·3 min
Full-Stack AI Development with Vercel: A Complete Guide to AI SDK, RAG, and Production-Ready Applications
Master full-stack AI development with Vercel: from LLM, RAG, and vector embeddings to AI SDK, AI Gateway, and v0 — build production-ready AI web apps end to end.
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·2 min
Andrew Ng on AI Agent Development: Evaluation and Error Analysis Are the Core Competitive Advantage
Andrew Ng argues that the core gap in AI Agent development isn't model selection — it's systematic evals and error analysis. A breakdown of his methodology.
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·1 min
AI Model Benchmarks Driving VC Decisions: From Benchmarks to Investment Signals
How AI model benchmarks and evals can build a VC decision framework—using capability overhangs, weakness analysis, and trajectory tracking to identify investment opportunities.
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·2 min
Jan Leike Launches New Research Project at Anthropic: Alignment Is Only Part of AGI Safety
Former OpenAI Superalignment lead Jan Leike announces a new research project at Anthropic, stating AGI safety goes far beyond alignment alone.
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Product Reviews·2 min
AgentMemory: An Open-Source Solution for Giving AI Coding Assistants Permanent Memory
AgentMemory is an open-source persistent memory layer supporting memory sharing across 16 AI coding tools including Claude Code and Cursor. 95.2% retrieval accuracy, ~1900 tokens per session, local SQLite storage with zero privacy concerns.
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Industry Insights·4 min
Qoder's Context Engineering in Practice: Four-Layer Retrieval Engine and Memory System Architecture
Deep analysis of Qoder's (Tongyi Lingma international edition) context engineering architecture, including its four-layer retrieval engine, memory engine, context caching, and core product design.
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Tutorials·1 min
MLflow Hands-On Tutorial: A Full-Stack MLOps Guide for GenAI Tracing + Classic ML Tuning
Learn MLflow's core features for GenAI and classic ML: auto tracing, model evaluation, Prompt versioning, hyperparameter tuning, and model deployment in just a few lines of code.
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Tech Frontiers·1 min
Anthropic Donates AI Alignment Tool Petri to Meridian Labs: A New Chapter for Open-Source Safety Evaluation
Anthropic donates AI alignment tool Petri to Meridian Labs with a major update improving adaptability, realism, and depth. Analysis of the impact on AI safety.
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Tutorials·2 min
Using AI to Debug AI: Three Battle-Tested Patterns from Incident.io
Incident.io shares three battle-tested patterns for using AI to debug AI: Agent-driven Eval workflows, debug UI as file systems, and AI analysis pipelines for complex system debugging.
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Product Reviews·4 min
GPT-5.2, Claude 4.5, Gemini 3 Pro Hands-On Comparison: 2025 Buying Guide
2025 hands-on comparison of GPT-5.2, Claude Sonnet 4.5, Gemini 3 Pro, and Grok 4.1 across image generation, deep research, writing, and reasoning, with pros/cons summary and budget-friendly access tips.
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Tutorials·3 min
AI Agent Context Management in Practice: A Complete Guide from Death Loops to Intelligent Truncation
Deep dive into AI Agent context management: a three-step strategy from naive truncation to intelligent memory, covering sub-Agent architecture and long session evals to solve LLM context bloat.
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