Articles, one at a time.
Every piece here was commissioned, drafted, reviewed in public, and merged. No content mills, no auto-published slop.
Microsoft Fabric MCP: Build AI Agents Over Enterprise Data
Microsoft Fabric MCP (Local GA, Remote preview) lets AI agents query lakehouses, warehouses, and Eventhouse via natural language. Developer setup guide.
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Context-ReAct: Adaptive Memory for AI Agents Guide 2026
How the Context-ReAct paradigm from arXiv:2605.05191 adds five atomic ops—Skip, Compress, Rollback, Snippet, Delete—to fix LLM agent context bloat.
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GLM-5.1: Zhipu's Open-Weight Agentic Coder That Topped SWE-Bench Pro
GLM-5.1 from Z.ai scored 58.4 on SWE-Bench Pro, beating GPT-5.4 and Claude Opus 4.6. 754B MoE, MIT license, $0.80/1M input tokens. Developer guide.
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GPT-5.5 Agentic Coding: Terminal-Bench 82.7% Guide
GPT-5.5 scores 82.7% on Terminal-Bench 2.0 and ships with Codex on AWS Bedrock. Here's what the benchmarks mean and how to integrate it in your stack.
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Hermes Agent: Nous Research's Self-Improving Open-Source Agent Guide
Install and run Hermes Agent v0.13.0 from Nous Research. Real lab notes: pip install, CLI doctor, skills list, GEPA self-improvement mechanism explained.
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LangGraph 1.2 Fault Tolerance: Node Timeouts Guide
Build safer LangGraph agents with per-node timeouts, NodeTimeoutError recovery, graceful shutdown, and DeltaChannel checkpointing.
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Think@n: Cut LLM Inference Cost 49% with Deep-Thinking Ratio
Google's Think@n paper (arXiv 2602.13517) cuts inference tokens by 49% using Deep-Thinking Ratio. Understand the mechanism, see the filtering logic, apply it to your LLM pipelines.
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MemRL: Self-Evolving Agents via Episodic Memory RL
MemRL replaces fine-tuning with runtime RL on episodic memory. Learn how Intent-Experience-Utility triplets outperform RAG on ALFWorld, HLE, and BigCodeBench.
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OpenAI Realtime Audio API: Voice Agents Guide 2026
GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper explained with API patterns, pricing, and production tips for voice agent developers.
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A-Mem: Agentic Memory for LLM Agents Explained
A-Mem (NeurIPS 2025) builds dynamic, self-evolving memory graphs for LLM agents. Learn the architecture, benchmark results, and how to use it.
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AWS Kiro: Spec-Driven IDE for Agentic Development
AWS Kiro turns natural-language specs into verifiable code contracts. Learn how specs, hooks, and Powers work—and who should switch from Cursor.
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Cloudflare Project Think: Durable Agent Runtime Guide
How Cloudflare Project Think's fiber checkpointing, sub-agents, Session API, and 5-tier execution ladder solve the hardest problems in long-running AI agents.
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