Software Engineering

AI-assisted engineering reading triage, bookmarking, and news curation

AI supports a personal workflow for collecting software-development-related AI news and engineering reading, summarizing saved links, organizing them with useful tags, clustering themes, and preparing digests or lightweight bookmark blurbs for selective sharing.

Why the human is still essential here

The human still decides which links matter, what quality bar is high enough for sharing, how items should be categorized, and which trends are structurally important versus merely interesting.

How people use this

AI news monitoring feeds

AI watches a broad set of sources and surfaces the most relevant software engineering and AI stories while filtering duplicates and low-signal updates.

Feedly AI

Weekly engineering digest drafts

AI converts a set of collected links into a first-draft roundup for a blog post or internal digest about coding tools, review practices, and developer workflows.

Claude / ChatGPT

Trend clustering from saved links

AI groups articles into themes such as agentic coding, harness engineering, code review burden, or software supply chain risk so patterns are easier to spot.

Google NotebookLM / Notion AI

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AI coding notes — 2026-09-18

AI coding notes — 2026-09-18

For a few weeks now I've been working on systems to keep track of interesting AI related news, and folding in my own personal reading in to that system too. It's been a lot of fun building it, but I kind of get management and decision fatigue, what should I include when I write, what should I exclude, what about items that are fine, but not fine enough for me to post about, what about things that are a bit niche. I'm sure my system will continue to evolve, but one place I'm landing is - key trends that impact science and publishing - links there need to have a bar that mean the news item is something that I thin indicates a structural direction of travel, and those are posts that I'm willing to send an email to my subscribers to.


I have a strong interest in how these technologies impact software development, so I'm also collecting those items too. I've decided that I'm going to write posts about those, but not send them as a newsletter. Same for interesting non-AI things I'm linking too.


That left me with a dilemma, what about the links I'm triaging that don't fit in any of those categories, but they are moderately interesting? Well yesterday I made a new section on my blog - bookmarks - links to things with just the AI summary, and no comment from me - https://lnkd.in/eChBHJjS .


As for this post, this is a set of code related links that I thought were pretty interesting, stretching back towards the middle of August.


You can catchup on them here: https://lnkd.in/eS83xVn3 ranging from info on recent hacks, to an overview of harness engineering, so some reflections on the burden of code review.

IM
Ian MulvanyChief Technology Officer at BMJ
Sep 18, 2026