Ask HN: What does your AI workflow look like?
A developer on Hacker News inquires about current best practices for integrating AI assistants into daily engineering workflows. The author expresses feeling out of touch due to the rapid release of new models and the instability of various open-source tools. The post aims to gather community insights on effective AI usage and identify reliable resources amidst the industry's hype cycle.
- ▪The author feels behind on AI application standards due to recent model releases and tooling changes.
- ▪The post seeks to identify what the public considers standard or best practices for using AI in engineering.
- ▪The author specifically refers to AI assistants like Claude and Codex rather than general AI concepts.
- ▪The goal is to create a sharing space for articles and ideas regarding effective AI workflows.
- ▪The author mentions specific tools like Graphify and OpenClaw to contextualize the current state of open-source AI tooling.
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,604 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=49865248 |
| Publication time | Sun, 27 Sep 2026 10:11:31 +0000 |
| Retrieval time | 2026-09-27T10:20:41.084Z |
| Last seen | 2026-09-27T10:20:41.084Z |
| 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 | 0rERx5GeVq1L · 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
With the recently released models and various open source tooling like harnesses or even solutions such as Graphify (is anyone actually using this?) or the death of OpenClaw I feel rather behind with regards to how I apply AI during my day to day engineering tasks.The goal for this post is then therefore to act as a probe into what the public considers as standard/best practices when working with AI and maybe act as a sort of sharing space for articles / ideas you have found interesting or apply while working with AI.I feel like this could be of great value (although maybe the approach I'm taking right now is not the most efficient) to see what the public thinks is working/is bogus since all of the recent hype trains and their subsequent crashes make me (and potentially you too) feel out…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.