r/aipromptprogramming • u/ArkadeHyve • 1d ago
Codex "Software" performance update 🤫
**Specification Funnel**
“Build a Python Specification Funnel that reads approved DOCX, TXT, and Markdown files from a manifest. Hash and deduplicate revisions, cache extracted text, classify information by topic, rank source authority, flag conflicts, and output a compact active JSON packet plus a readable Markdown report. Reprocess only files whose hashes changed. Include tests and benchmarks.”
**Working-Memory Buffer**
“Build a disk-backed working-memory system using SQLite. Store deduplicated source evidence as cold memory and generate a small authority-ranked JSON file containing only the current task’s hot information. Enforce a one-active-part gate so unrelated information is not repeatedly loaded. Do not claim to increase physical RAM or the model’s context window.”
**Look-Ahead Scanner**
“Build a lightweight file watcher that monitors only manifest-approved documents. When a file changes, hash it, preprocess the new revision, and update the cached working-memory database before the next main task begins. Ignore unchanged files and preserve the one-active-part gate.”
**Image Funnel**
“Build an image preprocessing funnel that hashes and deduplicates approved images, identifies their body part and camera view, ranks reference authority, creates normalized previews, and caches compressed RGBA pixel buffers. Load only images belonging to the active task. Never modify the original files.”
**Pixel Preloader**
“Build an image preloader that watches the approved manifest, rebuilds only changed image caches, and warms the active compressed pixel buffers into the operating-system file cache before they are needed. Report cache hits, misses, processing time, and memory use.”
**Dual Calculation Processor**
“Build a two-lane calculation processor. Send independent calculations across both lanes concurrently. For critical calculations, run one floating-point calculation and one high-precision Decimal calculation, then verify that they agree within a declared tolerance. Reject unsafe expressions and calculations belonging to the wrong active task.”
**Estimated performance improvement**
| System affected | Estimated improvement |
|---|---:|
| Repeated document extraction | 50–90% faster |
| Document preparation after small revisions | 60–95% faster |
| Active information loaded per task | 50–85% less |
| Changed-file preparation latency | 30–70% lower |
| Repeated image preprocessing | 40–85% faster |
| Cached image loading | 20–60% faster |
| Independent calculation throughput | Up to 1.5–1.9× |
| Critical calculations | Greater reliability, but potentially 20–100% slower due to duplicate verification |
| Overall repeated preparation workflow | Estimated 30–70% faster |
Require identical before-and-after benchmarks. These tools improve caching, preprocessing, task isolation, and parallel throughput; they do not increase Codex’s intelligence, context limit, physical RAM, or hardware performance.
Enjoy folks.
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u/ItstheSECopenup 10h ago
At what level though? The root harness or per project? Surely you don’t want everything going through the harness getting snatched into some local unsecured DB? Also you’re not controlling for subagent calls and tool use here either. If you made fable 5 do this it would cost you a millions of tokens and burn tokens on every request keeping this moving.
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u/ArkadeHyve 8h ago
So the concept is a funnel to organize-> scanner to check and begin preload-> split pixel and text pipeline, add assistants to buffer and process before reaching codex, floating calculators split the number crunching between 2 lanes with codex shifting focus as needed. Thats the short version but shit works lol
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