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Tom Tang

Building the evidence layer for AI-agent work.

I ship tools that make agent work inspectable, replayable, and shippable: live session dashboards, transcript archives, product-signal mining, and tracked installers.

Projects

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Writing

Common questions.

What does Tom Tang build?
Agent workflow infrastructure at the intersection of Rust, React, Claude Code, Codex, and product ops. Current projects include claude-view (AI agent mission control), chatgpt-share-dump (conversation archives for agents), pain-point-mining-agent (transcripts to product signals), and tomstack (distribution for reusable agent tools).
What topics does the blog cover?
Technical deep dives on AI-agent workflows, Rust build optimization, local LLM inference benchmarks (llama.cpp vs MLX), and developer workflow automation. Every post is grounded in empirical data, not speculation.
How can I follow Tom's work?
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