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AI Radar tracks models, frameworks, tools, and production architecture patterns for builders who need technical judgment, not hype.

The site publishes AI technology radar notes, engineering blueprints, tool reviews, and reusable software projects.

AI Radar

Blog

Filtering new models, frameworks, and tools through the lens of production engineering.

Making Agents Handle Follow-ups for Real

A practical architecture note on why agent follow-ups should not be treated as plain chat, and how session, run, memory, DAG versioning, and runtime events fit together.

Refactoring an Agent Runtime from PCA to ReAct

A practical review of why static DAG planning became heavy for general-purpose tasks, and what runtime constraints ReAct needed to work safely.

Fine-Tuning a 7B Model for a Business Task

A sanitized enterprise-assessment example showing what 7B fine-tuning can and cannot solve, and how to run LoRA/QLoRA with LLaMA-Factory.

Testing 5 Open-Source PDF Parsing Tools

A reproducible comparison of Docling, MinerU, PaddleOCR-VL-1.6, DeepSeek-OCR 2, and dots.mocr on OmniDocBench article-300 using the same test server.

Notes

Short notes, observations, and image records.
Cloud Mountains Over Beijing

Projects

Reusable starter kits, architecture templates, and AI engineering projects built from production experience.
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LLM Gateway Starter

An OpenAI-compatible model gateway with routing, fallback, rate limits, usage accounting, and Docker Compose deployment.

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LLM Observability Starter

A self-hosted LLM observability collector for traces, latency, token usage, cost, feedback, and eval events.