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Kontext Backlog Updated: Quality & Cost Focus
Updated Kontext embeddings layer backlog item to emphasize quality/cost benefits over speed
Output
✅ Kontext Backlog Updated
Revised item #16 to emphasize quality and cost benefits rather than speed gains.
Key Changes
| Before | "Smart context retrieval for both paths" |
| After | "Intelligent context selection for quality & cost" |
| Note added | "Adds ~200-450ms overhead. Value is quality/cost, not speed." |
Why This Matters
- Quality: Relevant context → better responses (vs dumping entire CLAUDE.md)
- Cost: Smaller context → fewer tokens → lower API costs
- Not speed: Embedding lookup adds latency, but the trade-off is worth it
Updated VIBE.md Entry (#16)
#### 16. Kontext Embeddings Layer [LOW] Intelligent context selection for quality & cost optimization. Why: Blindly including entire CLAUDE.md wastes tokens. Embedding-based retrieval fetches only relevant context. Unlocks: • Better response quality (relevant context only) • Cost reduction (smaller prompts) • Foundation for multi-codebase support Note: Adds ~200-450ms overhead. Value is quality/cost, not speed.
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Original Request
No layout configured
Details
Type
General
Status
Completed
Scope
vibetools
Tags
kontextbacklogembeddings
Created
5 Jan 2026, 2:23 pm
Updated
5 Jan 2026, 2:23 pm
Timing
⏱️ 36.7s
1 tools
● TTFE 18%
● Thinking 81%
● Tools 1%
Created By
claude
Raw Data
{
"id": "7707bc1c-0712-4961-b138-8d3d75e0c7f7",
"type": "general",
"status": "completed",
"title": "Kontext Backlog Updated: Quality & Cost Focus",
"description": "Updated Kontext embeddings layer backlog item to emphasize quality/cost benefits over speed",
"context": {
"output": "<div style=\"background:#1e1e1e;color:#e0e0e0;padding:20px;border-radius:8px;font-family:'Consolas','Monaco',monospace;\">\n<h2 style=\"font-family:sans-serif;color:#fff;margin:0 0 16px 0;\">✅ Kontext Backlog Updated</h2>\n\n<p style=\"color:#9ca3af;font-family:sans-serif;margin:0 0 16px 0;\">Revised item #16 to emphasize <strong style=\"color:#98c379;\">quality and cost benefits</strong> rather than speed gains.</p>\n\n<div style=\"background:#2d2d2d;padding:16px;border-radius:6px;margin-bottom:16px;\">\n<h3 style=\"color:#e5c07b;margin:0 0 12px 0;font-family:sans-serif;\">Key Changes</h3>\n<table style=\"width:100%;border-collapse:collapse;font-size:0.9rem;\">\n<tr style=\"border-bottom:1px solid #444;\">\n<td style=\"padding:8px 0;color:#7f848e;\">Before</td>\n<td style=\"padding:8px 0;color:#e06c75;\">\"Smart context retrieval for both paths\"</td>\n</tr>\n<tr style=\"border-bottom:1px solid #444;\">\n<td style=\"padding:8px 0;color:#7f848e;\">After</td>\n<td style=\"padding:8px 0;color:#98c379;\">\"Intelligent context selection for quality & cost\"</td>\n</tr>\n<tr>\n<td style=\"padding:8px 0;color:#7f848e;\">Note added</td>\n<td style=\"padding:8px 0;color:#61afef;\">\"Adds ~200-450ms overhead. Value is quality/cost, not speed.\"</td>\n</tr>\n</table>\n</div>\n\n<div style=\"background:#2d2d2d;padding:16px;border-radius:6px;margin-bottom:16px;\">\n<h3 style=\"color:#e5c07b;margin:0 0 12px 0;font-family:sans-serif;\">Why This Matters</h3>\n<ul style=\"margin:0;padding-left:20px;line-height:1.8;color:#e0e0e0;\">\n<li><strong style=\"color:#c678dd;\">Quality:</strong> Relevant context → better responses (vs dumping entire CLAUDE.md)</li>\n<li><strong style=\"color:#c678dd;\">Cost:</strong> Smaller context → fewer tokens → lower API costs</li>\n<li><strong style=\"color:#c678dd;\">Not speed:</strong> Embedding lookup adds latency, but the trade-off is worth it</li>\n</ul>\n</div>\n\n<div style=\"background:#2d2d2d;padding:16px;border-radius:6px;margin-bottom:16px;\">\n<h3 style=\"color:#e5c07b;margin:0 0 12px 0;font-family:sans-serif;\">Updated VIBE.md Entry (#16)</h3>\n<pre style=\"background:#1a1a1a;padding:12px;border-radius:4px;overflow-x:auto;font-size:0.85rem;color:#abb2bf;margin:0;\"><span style=\"color:#c678dd;\">#### 16. Kontext Embeddings Layer [LOW]</span>\n\nIntelligent context selection for <span style=\"color:#98c379;\">quality & cost</span> optimization.\n\n<span style=\"color:#e5c07b;\">Why:</span> Blindly including entire CLAUDE.md wastes tokens.\n Embedding-based retrieval fetches <span style=\"color:#61afef;\">only relevant</span> context.\n\n<span style=\"color:#e5c07b;\">Unlocks:</span>\n • Better response quality (relevant context only)\n • Cost reduction (smaller prompts)\n • Foundation for multi-codebase support\n\n<span style=\"color:#e06c75;\">Note:</span> Adds ~200-450ms overhead.\n <span style=\"color:#98c379;\">Value is quality/cost, not speed.</span></pre>\n</div>\n\n<div style=\"background:#2d2d2d;padding:16px;border-radius:6px;\">\n<h4 style=\"margin:0 0 8px 0;color:#fff;font-family:sans-serif;\">What's Next?</h4>\n<p style=\"color:#9ca3af;margin:0;font-family:sans-serif;\">Choose an action:</p>\n</div>\n</div>",
"requestedAt": "2026-01-05T03:15:00.000Z",
"requestId": "4e13637e-051f-4f09-9ee0-f474f7285bfe",
"choices": [
{
"label": "View in VIBE.md",
"value": "Show me the Kontext section in VIBE.md",
"primary": true
},
{
"label": "Start implementation",
"value": "Let's start implementing the Kontext embeddings layer"
},
{
"label": "Compare approaches",
"value": "Compare different embedding approaches for Kontext"
}
],
"turnTiming": {
"totalMs": 36735,
"ttfeMs": 6607,
"thinkingMs": 29619,
"toolExecutionMs": 508,
"toolCallCount": 1,
"thinkingPct": 81,
"toolsPct": 1,
"ttfePct": 18
}
},
"createdBy": "claude",
"createdAt": "2026-01-05T04:23:22.279Z",
"updatedAt": "2026-01-05T04:23:28.945Z",
"requestId": "4e13637e-051f-4f09-9ee0-f474f7285bfe",
"scope": "vibetools",
"tags": [
"kontext",
"backlog",
"embeddings"
],
"targetUser": "claude"
}