From Shell Scripts to MCP Servers: How SEO Broke My Brain (in a Good Way)
The article discusses the author's evolution in technical SEO over 20 years, highlighting the shift from traditional automation to prompt engineering with AI. The author emphasizes the importance of creating behavior specifications for AI instructions to achieve consistent and actionable outputs. Additionally, the integration of AI tools into the author's workflow has transformed their approach to coding and design tasks.
- ▪The author has been involved in technical SEO for two decades, starting with simple automation like shell scripts.
- ▪A significant change occurred when the author began to focus on behavior specifications rather than just using AI for autocomplete tasks.
- ▪The author developed a set of design rules and guidelines to improve AI-generated outputs in UI/UX work.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/staurus86/from-shell-scripts-to-mcp-servers-how-seo-broke-my-brain-in-a-good-way-491j |
| Publication time | Tue, 26 May 2026 17:56:05 +0000 |
| Retrieval time | 2026-05-26T18:07:50.919Z |
| Last seen | 2026-05-26T18:07:50.919Z |
| 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 | O4p4zMwMr4Yg |
| 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 === 3952938) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Станислав Кириченко Posted on May 26 From Shell Scripts to MCP Servers: How SEO Broke My Brain (in a Good Way) #ai #claude #promptengineering #seo I've been doing technical SEO for 20 years. My first "automation" was a shell script that pinged Google every hour to check if my site got indexed. We've come a long way. For most of those two decades, automation meant one thing: Python. Scrapers, crawlers, log analyzers, bulk content pipelines.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).