Solving the Technical Interview
The article describes a technical interview scenario where the interviewer is an older woman with a quirky personality. The interview revolves around a programming problem related to chess, specifically the N-Queens problem. The conversation highlights the challenges and unexpected moments that can arise during technical interviews.
- ▪The interviewee feels nervous due to previous candidates not meeting expectations.
- ▪The interviewer, an older woman, brings a light-hearted and familiar approach to the interview.
- ▪The discussion centers on the N-Queens problem in chess and involves coding in Haskell.
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Record
| Original publisher | samir : coffee → nonsense |
| Canonical URL | https://functional.computer/blog/solving-the-technical-interview |
| Publication time | Sun, 24 May 2026 07:10:04 +0000 |
| Retrieval time | 2026-05-24T07:37:31.206Z |
| Last seen | 2026-05-24T07:37:31.206Z |
| 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 | zWOJWVWOyc0O |
| 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
Solving the technical interview by Samir Talwar Saturday, 23 May 2026 at 09:00 CEST With apologies to Aphyr. You heave a sigh and get up from your desk, stopping by the kitchenette for a tea and a biscuit on the way to the meeting room. Recruiting for this role has not been going well, and your manager is starting to get nervous. Nervous is bad. Nervous means more scrutiny, more questions, more micro-management. And nervous means you get nervous too. You can feel your heart beat faster as you walk over to the interview room. You can see a sillhouette through the frosted glass door; they must already be waiting for you. You take a deep breath. The last few candidates have all been a little… odd. Let’s hope this one makes life a bit easier for you. You could use a win. You stride in.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at samir : coffee → nonsense.
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