
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 – 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
Daily Reading List – July 29, 2026 (#835)
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29 Jul 2026
Today's links look at how much you can delegate to agents, how we killed reading and can get it back, and why your moat shouldn't be the models.
Daily Reading List – July 28, 2026 (#834)
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28 Jul 2026
Today's links look at a big update to the Model Context Protocol, why it's good to be bored, and how to vibe code your first Android app.
Daily Reading List – July 27, 2026 (#833)
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28 Jul 2026
Today's links look at the AI productivity paradox, why mentoring matters more in the AI era, and why you should stop engineering your agent harness.
Daily Reading List – July 24, 2026 (#832)
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24 Jul 2026
Today's links look at what the right amount of spec is for agentic development, what data you need to determine the ROI of AI, and which architecture mistakes make systems hard to change.
Daily Reading List – July 23, 2026 (#831)
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23 Jul 2026
Today's links look at where the real AI competition is at, the challenge of measuring AI ROI, and why you should do some pre-factoring in your codebase.
Daily Reading List – July 22, 2026 (#830)
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22 Jul 2026
Today's links look at the open source agent toolkit in 2026, why AI keeps pushing us to ship, and how to tell if an engineer using AI is growing.
How to share agentic coding artifacts with your teammates
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22 Jul 2026
Maybe it’s just me, but it feels like most of the agentic coding tools out there are single-player. An individual developer engages in a coding session with one or more agents, and the non-code
Daily Reading List – July 21, 2026 (#829)
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21 Jul 2026
Today's links look at the latest Google Gemini models, why reliability is a discipline and not a feature, and how Netflix serves LLMs in-house.
Daily Reading List – July 20, 2026 (#828)
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21 Jul 2026
Today's links look at how to earn taste and judgement, why loop engineering is mostly just broken SDLC wearing a costume, and how to design APIs for agents.
Daily Reading List – July 17, 2026 (#827)
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18 Jul 2026
Today's links look at what ten AI film crews teach us about agent teamwork, how to cut token usage by 94%, and why model routing is simple until it isn't.
Daily Reading List – July 16, 2026 (#826)
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16 Jul 2026
Today's links look at why the prototype is a question and not a product, five trends that define modern AI engineering, and why "playing politics" isn't a bad thing.
Daily Reading List – July 15, 2026 (#825)
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15 Jul 2026
Today's links look at how Netflix built a real-time look at their service topology, why you should control the ideas and not the code, and why 90% done rarely means that you're almost done.
Daily Reading List – July 14, 2026 (#824)
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14 Jul 2026
Today's links look at challenges with persistence for long-running agents, why we keep arguing against Jevon's paradox, and securing the AI supply chain.
Daily Reading List – July 13, 2026 (#823)
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13 Jul 2026
Today's links look at how to stop being the code review bottleneck, why you should still write code in 2026, and why TypeScript 7.0 was rewritten in Go.
Daily Reading List – July 10, 2026 (#822)
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11 Jul 2026
Today's links look at why you need to own the outer loop, why AI coding agents still need clear specs, and why multi-tenancy isn't all about databases.
Daily Reading List – July 9, 2026 (#821)
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9 Jul 2026
Today's links look at how AI is changing what employers want from new hires, which new models are getting attention, and why you should do hard (meaningful) things.
Daily Reading List – July 8, 2026 (#820)
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8 Jul 2026
Today's links look at why AI mandates can be good, why your configuration-as-code approach is a liability, and how AI can fix traffic congestion.
Daily Reading List – July 7, 2026 (#819)
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8 Jul 2026
Today's links look at how to help workers reskill, why you should write code instead of specs, and whether the PRD is dead.
Daily Reading List – July 6, 2026 (#818)
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6 Jul 2026
Today's links look at traits that set the best leaders apart, ten moments that defined AI's first half, and why we're seeing the twilight of the chatbot.
Daily Reading List – July 2, 2026 (#817)
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2 Jul 2026
Today's links look at why experienced (engineering) managers get stuck, which vulnerabilities are most risky for MCP servers, and the do's/don'ts for LinkedIn posts.
Daily Reading List – July 1, 2026 (#816)
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1 Jul 2026
Today's links look at tools to bolster your AI coding stack, driving the agent quality flywheel from your coding agents, and why AI should shrink teams and not headcount.
Daily Reading List – June 30, 2026 (#815)
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30 Jun 2026
Today's links look at how enterprises see the future of (AI) engineering, whether markdown is the application layer of AI apps, and how to think about agent memory.
Daily Reading List – June 29, 2026 (#814)
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29 Jun 2026
Today's links look at essential testing patterns for AI agent development, why AI adoption is overloading middle managers, and the problem with prompt debt.
Crafting an agent team that still includes me
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28 Jun 2026
That was fast. We’ve moved from prompting an LLM, to providing instructions to an agent, to having agents prompting other agents in a loop. “Loop engineering” is all the rage among the AI elite
Daily Reading List – June 26, 2026 (#813)
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26 Jun 2026
Today's links look at loops versus prompts, where the agent harness becomes tech debt, and how Gemini can help you avoid jetlag.
Daily Reading List – June 25, 2026 (#812)
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26 Jun 2026
Today's links look at ping-pong pairing with AI, why configurations belong in a database, why we shouldn't be using agents to buy the same answer twice.
Daily Reading List – June 24, 2026 (#811)
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24 Jun 2026
Today's links look at why the mom-and-pop SaaS era has arrived, why Europe cloud sovereignty push may backfire, and where the AI productivity bill comes due.
Daily Reading List – June 23, 2026 (#810)
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23 Jun 2026
Today's links look at why old software was so fast, how to become ridiculously good at Kubernetes, and how to secure the future of AI agents.
Daily Reading List – June 22, 2026 (#809)
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22 Jun 2026
Today's links look at the case against building your own agent platform, what autonomous long-running code agents are all about, and forces impacting the transition from manager to leader.
Daily Reading List – June 18, 2026 (#808)
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19 Jun 2026
Today's links look at why AI coding isn't working for your team, the death and rebirth of programming, and the keys to confidence.
Daily Reading List – June 17, 2026 (#807)
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17 Jun 2026
Today's links look at how to use agents while maintaining agency, why the sign-off layer is becoming the real engineering system, and how tech debt keeps you stuck in pilot purgatory.
Daily Reading List – June 16, 2026 (#806)
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16 Jun 2026
Today's links look at whether languages are more than just syntax to devs, why AI demands more engineering discipline now, and why you need to invest in downstream automation.
Daily Reading List – June 15, 2026 (#805)
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15 Jun 2026
Today's links look at why "skill fatigue" is real, how to rethink your build versus buy strategy, and how to differentiate a vibe coder from a software engineer.