loop-benchmarking

Controlled experiments across agentic coding configurations. Same task, one variable, what actually works.
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commit 9d530eb263135124654b1e8bc32eabe0c2a60c1d
parent 50b3e2d43f313358b9c87bbf8c2f137b846b6c2c
Author: Brian Graham <brian@buildingbetterteams.de>
Date:   Tue,  7 Apr 2026 18:17:34 +0200

Spread PCA dots wider (2.5x), shrink spheres

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Diffstat:
Mdashboard/src/components/PCAPlot.tsx | 8++++----
1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/dashboard/src/components/PCAPlot.tsx b/dashboard/src/components/PCAPlot.tsx @@ -469,10 +469,10 @@ export default function PCAPlot({ data }: PCAPlotProps) { const t = (p.score - minScore) / scoreRange; return { ...p, - nx: p.pc1 / maxPc1, - ny: p.pc2 / maxPc2, - nz: p.pc3 / maxPc3, - radius: 0.05 + t * 0.1, + nx: (p.pc1 / maxPc1) * 2.5, + ny: (p.pc2 / maxPc2) * 2.5, + nz: (p.pc3 / maxPc3) * 2.5, + radius: 0.04 + t * 0.06, color, hexColor: hslToHex(color), };

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