AI Can Build Anything. Learn What Not to Ship
Learn What Not to ShipOrganisations with successful products need to rethink their SDLC Posted Oct 1, 2026 Updated Oct 3, 2026 By Yogi 6 min readHere’s what things look like at most startups I’ve worked with. Ideas, discussions, more discussions, reviews, consensus building and constant reprioritizations.While leadership expects AI to drive up productivity through the roof, engineering teams still find themselves gasping for time if not running on fumes. In fact, the McKinsey Technology Trends Outlook 2026 cites that 1 in 3 companies that adopted agentic coding tools see a drop in productivity.
- ▪Learn What Not to ShipOrganisations with successful products need to rethink their SDLC Posted Oct 1, 2026 Updated Oct 3, 2026 By Yogi 6 min readHere’s what things look like at most startups I’ve worked with.
- ▪Ideas, discussions, more discussions, reviews, consensus building and constant reprioritizations.While leadership expects AI to drive up productivity through the roof, engineering teams still find themselves gasping for time if not running
- ▪In fact, the McKinsey Technology Trends Outlook 2026 cites that 1 in 3 companies that adopted agentic coding tools see a drop in productivity.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,430 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Yogi’s Blog |
| Canonical URL | https://yogis.blog/posts/what_not_to_ship/ |
| Publication time | Sat, 03 Oct 2026 12:55:57 +0000 |
| Retrieval time | 2026-10-03T13:03:13.005Z |
| Last seen | 2026-10-03T13:03:13.005Z |
| 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 | A8e6f1WOqGLd · 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
AI Can Build Anything. Learn What Not to ShipOrganisations with successful products need to rethink their SDLC Posted Oct 1, 2026 Updated Oct 3, 2026 By Yogi 6 min readHere’s what things look like at most startups I’ve worked with. Ideas, discussions, more discussions, reviews, consensus building and constant reprioritizations.While leadership expects AI to drive up productivity through the roof, engineering teams still find themselves gasping for time if not running on fumes. In fact, the McKinsey Technology Trends Outlook 2026 cites that 1 in 3 companies that adopted agentic coding tools see a drop in productivity.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Yogi’s Blog.
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