The age of token efficiency, the age of libraries
The article discusses the rapid adoption of AI code assistants among developers, noting a shift from writing code to orchestrating prompts and reviewing outputs. It highlights emerging concerns about token efficiency and trust in AI-generated code, especially as enterprises move toward metered token usage. The author cites surveys and predictions indicating that a large majority of developers will rely on AI tools within the next few years.
- ▪84% of developers currently use or plan to use AI tools, according to a 2025 Stack Overflow survey.
- ▪A poll of about fifty developers at DevBcn revealed that most now write specifications and review pull requests rather than hand‑craft code.
- ▪Gartner predicts that by 2028, 90% of enterprise software engineers will use AI code assistants, up from under 14% in early 2024.
- ▪Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026, emphasizing the need for token cost efficiency and trust metrics.
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Record
| Original publisher | Golemui |
| Canonical URL | https://golemui.com/blog/the-age-of-token-efficiency/ |
| Publication time | Tue, 28 Jul 2026 03:56:08 +0000 |
| Retrieval time | 2026-07-28T04:53:17.904Z |
| Last seen | 2026-07-28T04:53:17.904Z |
| 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 | sESmp-1cGuof · 1 stories |
| 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
From the blog The age of token efficiency, the age of libraries Turn a Tiptap document into a database with GolemUI GolemUI turns v1 See you at DevBcn 2026 AI-ready from day zero All posts On this page Fifty developers, one answerThe age of token efficiencyTrust, the elephant in the roomWhen the time bomb goes offThe age of librariesGatekeepers of excellenceLibraries that speak agentEnter GolemUI opinion 6 Jul 2026 The age of token efficiency, the age of libraries Not so long ago, six months, perhaps, I was seriously convinced that AI would not replace us, the programmers. It would just help us; it would be our assistant. Back then I was mostly firing off one-off prompts in ChatGPT to help me with the odd algorithm, but to my delight, I still hand-crafted nearly all of my code.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Golemui.