
Richard Seroter's Architecture Musings
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Blog Featuring Links, Code, Thoughts, and Experiences with Software, AI, and Cloud Services
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Daily Reading List – October 2, 2026 (#880)
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2 Oct 2026
Today's links look at how React Native solved a problem nobody had, whether you can SEO your way into an AI agent's recommendation, and why redesign doesn't happen enough.
Daily Reading List – October 1, 2026 (#879)
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2 Oct 2026
Today's links look at maintaining quality while agents write the code, how to give your agent an UI, and why coding is NOT a solved problem.
Daily Reading List – September 30, 2026 (#878)
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1 Oct 2026
Today's links look at the new Gemini 4 Argon model, how you start building an agentic software factory, and the state of agent skills.
Your app’s frontend UI is now optional
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30 Sep 2026
I have 334 apps on my phone. You probably have more than me. My browser bookmarks and history are stuffed with sites I infrequently use. We’re inundated with “apps” that require us to learn
Daily Reading List – September 29, 2026 (#877)
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29 Sep 2026
Today's links look at why you should be asking more questions, why there's a lack of confidence in software supply chain security, and why faster AI coding can mean harder engineering.
Daily Reading List – September 28, 2026 (#876)
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29 Sep 2026
Today's links look at why experts should lead experts, which unlikely trends are shaping software trends, and why startups need open models alongside frontier APIs.
Daily Reading List – September 25, 2026 (#875)
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25 Sep 2026
Today's links look at why you should stop watching your agent work, the value of a good agent plugin, and how to better harden your code pipelines and CI/CD infra.
Daily Reading List – September 24, 2026 (#874)
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25 Sep 2026
Today's links look at a new type of agentic database architecture, whether web frameworks matter anymore, and how to deploy AI hardware into outer space.
Daily Reading List – September 23, 2026 (#873)
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24 Sep 2026
Today's links look at why the internet isn't ready for the agentic wave, how to scale Kubernetes workloads to zero, and how to do a Jev-style classifier with DiffusionGemma.
Daily Reading List – September 22, 2026 (#872)
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23 Sep 2026
Today's links look at using Jev in your data warehouse, why traditional API design has changed forever, and good tips to improve your coding agent game.
Daily Reading List – September 21, 2026 (#871)
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22 Sep 2026
Today's links look at the new Jev model, why 'be popular' isn't an open source business model, and how to do cross-cloud caching with your lakehouse.
Daily Reading List – September 18, 2026 (#870)
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18 Sep 2026
Today's links look at whether you're actually a good collaborator, why you should stop trying to be LESS obsessed, and why we're all managers now.
Daily Reading List – September 17, 2026 (#869)
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18 Sep 2026
Today's links look at what happens to engineers when AI writes all the code, how to de-slop an AI-generated codebase, and why agents are the new kingmakers.
Daily Reading List – September 16, 2026 (#868)
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17 Sep 2026
Today's links look at why you tell agents why instead of only how, whether agent skills actually help, and the value of being bored.
Daily Reading List – September 15, 2026 (#867)
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16 Sep 2026
Today's links look at how to pair program with your AI agent, how to keep your jokes from falling flat, and why we're all product engineers now.
Daily Reading List – September 14, 2026 (#866)
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15 Sep 2026
Today's links look at the feature flag graveyard, why it's ok to be a slop snob, and which strong opinions are worth revisiting.
Daily Reading List – September 11, 2026 (#865)
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11 Sep 2026
Today's links look at which models do best at cybersecurity tasks, what comes after git, and how you can save a billion tokens with on-device AI.
Daily Reading List – September 10, 2026 (#864)
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11 Sep 2026
Today's links look at behavioral evaluation of coding agents, how to debug Spark with the help of MCP servers, and why Shopify is moving from a single-codebase framework to native code.
Daily Reading List – September 9, 2026 (#863)
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9 Sep 2026
Today's links look at five things you shouldn't vibe code, why you can trust your agent with production secrets, and why to .gitignore everything by default.
Daily Reading List – September 8, 2026 (#862)
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8 Sep 2026
Today's links look at the future of software engineering, what happens when AI burns down your whole backlog, and how coding agents select their tools of choice.
Daily Reading List – September 4, 2026 (#861)
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4 Sep 2026
Today's links look at what happens when your agent doesn't know how to wait, how to think about open weight models, and why curveball questions can surface key insights.
Daily Reading List – September 3, 2026 (#860)
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4 Sep 2026
Today's links look at how top open source projects are rethinking contributions, how to distinguish the human/machine/agent identities, and why middle managers are the key to AI adoption.
Daily Reading List – September 2, 2026 (#859)
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3 Sep 2026
Today's links look at the new Gemini 3.8 Flash, why you should audit your agent files, and seven agent skill patterns everyone should know.
Daily Reading List – September 1, 2026 (#858)
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1 Sep 2026
Today's links look at using agent teams on long running tasks, why you want 'twilight factories' instead of agent-only dark factories, and how to slash token costs with context caching.
Daily Reading List – August 31, 2026 (#857)
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31 Aug 2026
Today's links look at top AI trends every developer should know, what AI metric you shouldn't be measuring, and how to think strategically.
You can just find and use agent skills mid-session
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31 Aug 2026
I’m not proud of it, but I’ve been drunk on agent skills. It’s time to reset. It’s easy to fall into skills bloat as you accrue different ones for every possible scenario. Doing software
Daily Reading List – August 28, 2026 (#856)
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28 Aug 2026
Today's links look at why you shouldn't waste your career getting comfortable, how to build websites for people AND agents, and a new way to test your cloud resilience.
Daily Reading List – August 27, 2026 (#855)
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27 Aug 2026
Today's links look at whether or data or APIs are ready for AI, why your backlog was a coping mechanism, and how you can deploy personal agents.
Daily Reading List – August 26, 2026 (#854)
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26 Aug 2026
Today's links look at generative engine optimization (GEO) and agent experience (AX), what the future of learning looks like, and what languages agent skills are written in.
Daily Reading List – August 25, 2026 (#853)
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25 Aug 2026
Today's links look at whether 'predictable delivery' can be measured, how to migrate code libraries using agent teams, and what the AI-native SDLC playbook looks like.
Daily Reading List – August 24, 2026 (#852)
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24 Aug 2026
Today's links look at why your event-driven system isn't as decoupled as you think, why software craftsmanship still matters, and how engineering leaders should measure the ROI of AI.
Daily Reading List – August 21, 2026 (#851)
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21 Aug 2026
Today's links look at moving AI coding to different surfaces, how to save tokens, and why good writing is obvious, not original.
Daily Reading List – August 20, 2026 (#850)
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20 Aug 2026
Today's links look at AI coding tools for enterprise users, whether your organizational culture is too nice, what to do when your buyer in an AI agent.
Daily Reading List – August 19, 2026 (#849)
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19 Aug 2026
Today's links look at doc-driven development, why harnesses are basically situated agents, what's new in Go 1.27.
Daily Reading List – August 18, 2026 (#848)
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18 Aug 2026
Today's links look at data about AI usage patterns in software teams, some best practices for AI code reviews, and what to do when the hard part stops being hard.
Daily Reading List – August 17, 2026 (#847)
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17 Aug 2026
Today's links look at how companies are doing agentic engineering in real life, what to do about skill sprawl, and whether you need skills at all.
Daily Reading List – August 14, 2026 (#846)
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14 Aug 2026
Today's links look at how to speed up generative UI, which patterns and problems in multiagent systems to be aware of, and whether software factories actually work.
Daily Reading List – August 13, 2026 (#845)
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13 Aug 2026
Today's links look at the flashy Gemini 3.7 Flash model, why reviewing code is a skill, and what technical debt in the AI era looks like.
Daily Reading List – August 12, 2026 (#844)
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13 Aug 2026
Today's links look at why local models won't win, whether TDD inside the agent loop makes sense, and where a watermark can hide in plain text.
Daily Reading List – August 11, 2026 (#843)
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11 Aug 2026
Today's links look at whether agents are killing the UI, whether agents can use computers yet, and a fresh definition of the product role.
Daily Reading List – August 10, 2026 (#842)
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10 Aug 2026
Today's links look at why 'code was never the hard part' is insulting, what code review are for, and why open source matters for AI.
Daily Reading List – August 7, 2026 (#841)
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7 Aug 2026
Today's links look at when a loop should stop, how WebMCP is picking up momentum, and what has to be true to rewrite the code all the time.
Daily Reading List – August 6, 2026 (#840)
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6 Aug 2026
Today's links look at the new Agent Plugins spec, when you should self-host inference, and what nobody tells you about writing agent skills.
Daily Reading List – August 5, 2026 (#839)
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5 Aug 2026
Today's links look at a big change in Google AI leadership, what name we should use when referring to AI coding, and whether lacking a long-term career plan is fine.
Daily Reading List – August 4, 2026 (#838)
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5 Aug 2026
Today's links look at how to work with 5 coding agents simultaneously, scaling agents with session-aware load balancing, and why engineering management is a career change instead of a promotion.
Daily Reading List – August 3, 2026 (#837)
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4 Aug 2026
Today's links look at the economic benefits of refactoring, the one line that 95% of agent skills are missing, and how to give (and take) credit in big tech companies.
Daily Reading List – July 30, 2026 (#836)
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30 Jul 2026
Today's links look at what a loop is, how to apply eval-driven development, and why GitHub might be the wrong shape for this AI world.
Which programming languages offer built-in tools for modernizing your code?
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30 Jul 2026
If you’ve been a software developer for more than five minutes, then you probably have some old code running somewhere. It probably works fine, so who cares if it’s a little dusty and based on an