Stop Engineering Prompts: How an Eval-First Harness Let Us Ship 25 Algorithm Versions Autonomously
The article discusses the development of an AI harness that enables the autonomous shipping of algorithm versions. This harness allows for rapid iterations on a color quantization pipeline for a LEGO-style pixel mosaic tool. The author emphasizes that the harness, rather than prompt engineering, is key to maintaining quality while increasing output speed.
- ▪The AI harness allows for autonomous iterations on algorithms while incorporating human intuition.
- ▪Twenty-five versions of the color quantization pipeline were shipped in just 13 days.
- ▪The project is a side endeavor, with the author contributing as a product manager without coding skills.
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Story provenance
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/bmbrick/stop-engineering-prompts-how-an-eval-first-harness-let-us-ship-25-algorithm-versions-autonomously-4b0n |
| Publication time | Sun, 24 May 2026 08:44:43 +0000 |
| Retrieval time | 2026-05-24T09:07:31.595Z |
| Last seen | 2026-05-24T09:07:31.595Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | uXvU5mSe7LbN |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3923686) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } BMBrick Posted on May 24 Stop Engineering Prompts: How an Eval-First Harness Let Us Ship 25 Algorithm Versions Autonomously #ai #llm #mcp #devops tl;dr — Agents are good at small fixes and terrible at "make this algorithm better" because every change looks good in isolation and silently regresses elsewhere.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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