Agents Need Their ONNX Moment — Plano Is That Layer
Plano separates the agent inner loop (logic) from the outer loop (routing, guardrails, observability). Here’s why that infra shift matters for production‑grade agents.
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Build Your Own AI Agent with Agent SDKs (2026)
A practical map of the agent SDK landscape — what each framework optimizes for, and how to choose the right harness.
AutoRAG‑Research: A Standardized RAG Lab for Benchmarks, Pipelines, and Plugins
AutoRAG‑Research unifies datasets, ships SOTA pipelines, and lets you run RAG experiments with one command.
DeepCode + nanobot: Agentic Coding from Papers, Text, and Your Phone
DeepCode claims SOTA on PaperBench and pairs with nanobot to turn papers, text prompts, and chat messages into working code.
Entire: The Assembly Line for the Agent Era
Thomas Dohmke announces Entire, a new developer platform built around agent-native SDLC, git-compatible context, and Checkpoints.
EdgeQuake: Graph‑RAG in Rust for Production‑Grade Retrieval
A detailed look at EdgeQuake, a high‑performance Graph‑RAG framework built in Rust—knowledge graphs, multi‑mode querying, and why it matters for real‑world agent stacks.
Harness Engineering: The 5 Rules That Let Agents Ship 1M Lines
OpenAI’s Codex experiment reframes engineering: not writing code, but designing the harness. Here are the five principles that made it work.
Google’s Developer Knowledge API + MCP Server: Docs as a Live Source of Truth
A deeper, non‑duplicative walkthrough of Google’s Developer Knowledge API and MCP server, with practical flows for agentic tooling.
Stop Generating, Start Thinking: The Missing Layer in AI Coding
A deep reflection on why code generation without human thinking is risky—and how to build with agents without losing engineering judgment.
BMAD Method: A Structured, Agent‑Driven Agile Workflow
A deep dive into BMAD Method—21 specialized agents, 50+ guided workflows, and an AI‑first agile process from brief to deployment.
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