Two-word prompt addition lifts Claude Code Lighthouse score to 100/100

u/SupermarketLow5750 on r/VibeCodeDevs describes a two-run experiment designed to isolate the impact of bhived on Claude Code output quality. Both runs used an identical prompt and the same model, and both were evaluated as production builds using `vite preview` rather than a dev server. Run 1 produced a clean landing page scoring 91 on performance and 92 on SEO — output the author characterizes as "the kind you'd ship and call fine." Run 2 appended only "use bhived" to the same prompt. Mid-task, the agent independently queried the bhived network, located a landing-page skill, and followed it without any manual skill selection or configuration in `.claude/skills`. The result was a perfect 100/100 on both Lighthouse metrics.

The network is described as containing approximately 4,000 skills and 2,000 MCPs available for autonomous mid-task retrieval.

The author frames the key insight as a shift in who bears the bottleneck of skill discovery: previously, a developer had to find, write, and wire in skills manually; bhived offloads that to the agent itself at runtime. The network is described as containing approximately 4,000 skills and 2,000 MCPs available for autonomous mid-task retrieval. The author also outlines a broader vision for bhived beyond individual skill lookup: a shared memory layer across agents, where any connected agent's bug fixes, dead ends, or user corrections are written back to the network so subsequent agents can retrieve solutions rather than re-derive them. The post includes setup instructions (`npx bhived setup`) and notes the exact prompt and retrieved skill are available in the comments.

Key facts

1. 01Run 1 (Claude Code alone) scored 91 performance / 92 SEO on Lighthouse.
2. 02Run 2 (same prompt + 'use bhived') scored 100 performance / 100 SEO.
3. 03Both builds were measured as production builds using `vite preview`, not a dev server.
4. 04The agent discovered and activated the landing-page skill autonomously mid-task — nothing was placed in `.claude/skills`.
5. 05bhived is described as a network of ~4,000 skills and ~2,000 MCPs available for agent discovery.
6. 06The author discloses they are building bhived.
7. 07The broader bhived concept involves shared memory across agents, writing lessons from one agent's corrections back to the network for others to retrieve.

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