How AI is redefining Software Engineering
The article discusses the evolving role of software engineers in the age of AI and large language models (LLMs). It highlights a personal journey from traditional coding to leveraging AI tools for code generation and management. The author reflects on how AI has shifted their focus from writing code to overseeing architecture and specifications.
- ▪The author initially used LLMs as brainstorming tools while still writing code by hand.
- ▪A significant change occurred when the quality of AI-generated code improved, allowing for less hands-on coding.
- ▪The author now focuses on high-level design and oversight rather than typing code themselves.
2 outlets in our directory ran this story, first to last over 10 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 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 | Hacker News (Newest) |
| Canonical URL | https://adlrocha.substack.com/p/adlrocha-how-ai-is-redefining-software |
| Publication time | Sun, 24 May 2026 07:29:21 +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 | j8O7S-DOqvWC · 2 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
@adlrocha - How AI Is Redefining Software EngineeringFrom Coder to Agent Manager: how I stopped writing code by hand after more than a decade of daily practice.adlrochaMay 24, 2026ShareAfter the detour we made the last few weeks exploring the state of the hardware and software stack of local AI inference, I want to come back to one of the topics I promised to address in my posts about agent engineering. In this post I want to try to answer a question that I’ve been asking myself since the last time I wrote a line of code by hand.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Newest).