Ask HN: How would you learn AI-assisted development from the ground up?
I'm a director/exec, not a software engineer. Background's mostly data analytics, SQL and Excel day to day, some R and PostgreSQL. Years ago I could hack together basic HTML/CSS/PHP too.Got into AI early and now use ChatGPT and Claude constantly.
- ▪I'm a director/exec, not a software engineer.
- ▪Background's mostly data analytics, SQL and Excel day to day, some R and PostgreSQL.
- ▪Years ago I could hack together basic HTML/CSS/PHP too.Got into AI early and now use ChatGPT and Claude constantly.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,791 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49098829 |
| Publication time | Wed, 29 Jul 2026 15:31:35 +0000 |
| Retrieval time | 2026-07-29T15:36:02.222Z |
| Last seen | 2026-07-29T15:36:02.222Z |
| 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 | 7ZUxxnN72dK9 · 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
I'm a director/exec, not a software engineer. Background's mostly data analytics, SQL and Excel day to day, some R and PostgreSQL. Years ago I could hack together basic HTML/CSS/PHP too.Got into AI early and now use ChatGPT and Claude constantly. With their help I've built a handful of web apps, some Python scripts and desktop tools, and an Android app on Supabase with real multiple users.So I can build things. But I'm very aware there are big holes underneath it. I can usually get something working without really knowing why it works, whether it's actually well built, or what's going to break down the road once it gets more complex.Feels like it's time to go back to fundamentals.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.