
Richard Seroter's Architecture Musings
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Blog Featuring Links, Code, Thoughts, and Experiences with Software, AI, and Cloud Services
Daily Reading List – July 2, 2026 (#817)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
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.
Daily Reading List – June 12, 2026 (#804)
12 Jun 2026
Today's links look at why it's crunch time for Java modernization, how to teach agents to recover from lost memory, and why the new Colab CLI matters.
Daily Reading List – June 11, 2026 (#803)
11 Jun 2026
Today's links look at why your AI strategy has a trust problem, what loop engineering is all about, and why the PaaS market keeps bundling and unbundling.
Daily Reading List – June 10, 2026 (#802)
10 Jun 2026
Today's links look at why you need to focus on agent experience, why you should do nothing at work, and how to master hooks in your coding agents.
Daily Reading List – June 9, 2026 (#801)
9 Jun 2026
Today's links look at building interrupt-resilient AI workload on Kubernetes, why Paris Hilton isn't scared of building on Android, and how to use Google's agent-as-a-service endpoint.
Daily Reading List – June 8, 2026 (#800)
8 Jun 2026
Today's links look at what's worth learning in the AI era, why software engineering is at the tipping point, and a look at the modern agent stack.
Daily Reading List – June 5, 2026 (#799)
5 Jun 2026
Today's links look at rising concern about token costs, why engineering leaders should be worried if their team isn't speaking up, and how people are really using AI in 2026.
Daily Reading List – June 4, 2026 (#798)
4 Jun 2026
Today's links look at essential books for product builders, the future of agents, how XP can make you a better AI coder.
Daily Reading List – June 3, 2026 (#797)
3 Jun 2026
Today's links look at the collision of AI enthusiasts and AI skeptics, AI's brave new world of tech debt, and why hardened images are suddenly everywhere.
Daily Reading List – June 2, 2026 (#796)
2 Jun 2026
Today's links look at the state of SDLC security, why test-driven development with agents is good for security, and how to get a good return on AI investments.
Daily Reading List – June 1, 2026 (#795)
1 Jun 2026
Today's links look at how to handle conflict, a list of ways to be wrong about AI-assisted coding metrics, and the keys to succeeding under a new manager.
One prompt, four (sub)agents, and ninety seconds to get a working app
1 Jun 2026
I’m been thinking a lot about agent teams. You know, a set of AI agents that work together towards a goal. You might implement this within a single agent harness (see Garry Tan’s gstack for
Daily Reading List – May 29, 2026 (#794)
29 May 2026
Today's links look at how to use AI agents without stopping your own growth, how to keep AI-assisted engineers from burning out, and inside Bloomberg's flat eng culture.
Daily Reading List – May 28, 2026 (#793)
28 May 2026
Today's links look at why AI won't fix your broken delivery pipeline, why you should stop interviewing engineers like it's 2022, and how Google SREs are using agentic AI.
Daily Reading List – May 27, 2026 (#792)
28 May 2026
Today's links look at the role of MCP in context engineering, how you can choose to stay human in an AI world, and how managers are struggling to keep up with the AI productivity boom.
Daily Reading List – May 26, 2026 (#791)
26 May 2026
Today's links look at why CI wasn't built for coding agents, why "AI-powered" isn't a useful positioning statement, and the counterintuitive ways to get better at anything.
Daily Reading List – May 22, 2026 (#790)
22 May 2026
Today's links look at redefining your business moat, how to scale software architecture without overengineering, and why code is the smallest part of the job.
Daily Reading List – May 21, 2026 (#789)
21 May 2026
Today's links look at what engineering teams confront when doing AI at scale, whether lock-in matters anymore, and why prompts are technical debt too.
Daily Reading List – May 20, 2026 (#788)
21 May 2026
Today's links look at the new era for AI search, what an open source agent runtime looks like, what changes as you make Kubernetes production-ready.
Daily Reading List – May 19, 2026 (#787)
19 May 2026
Today's links look at all the developer capabilities we shipped at Google I/O, why most teams are building agent skills wrong, and the hard parts of multicloud.
Daily Reading List – May 18, 2026 (#786)
18 May 2026
Today's links look at the strategic use of open source, why you shouldn't outsource learning to AI, and why what you know about scaling web apps doesn't apply to scaling LLMs.
Daily Reading List – May 15, 2026 (#785)
15 May 2026
Today's links look at where devs want to spend time with AI, what happens when software becomes headless, and why you should consider Kubernetes for your AI agent.
Daily Reading List – May 14, 2026 (#784)
14 May 2026
Today's links look at whether to use MCP or CLIs, why tokenmaxxing is dumb, and how to build long-running agents that don't lose context.
Daily Reading List – May 13, 2026 (#783)
14 May 2026
Today's links look at what to do when your brain runs out of RAM, why your AI problem is a data problem, and how to escape from the (human in the) agentic loop.
Daily Reading List – May 12, 2026 (#782)
13 May 2026
Today's links look at all the new hotness from Android, why the best leaders embrace the role of *supporting* character, and what happens when teams reorganize around AI agents.
Daily Reading List – May 11, 2026 (#781)
11 May 2026
Today's links look at how to provide leadership in AI-assisted engineering teams, how fast-growing teams can make better decisions, and why tokenmaxxing is the result of misaligned incentives.
Daily Reading List – May 8, 2026 (#780)
8 May 2026
Today's links look at what happens if you give in to Cognitive Surrender with AI, why the 'AI Job Apocalypse' is complete fantasy, and what it means to have write-only code coming out of your AI
Daily Reading List – May 7, 2026 (#779)
8 May 2026
Today's links look at why SaaS freemium playbooks don't work in AI, how to design front-end systems for cloud failure, and why coding with AI agents is a baseline expectations for tech managers.
Daily Reading List – May 6, 2026 (#778)
6 May 2026
Today's links look at how to be direct AND strategic in communication, how to design an AI-native engineering org, and why you improve AI agents through better evals.
How to force your custom agent to stop and seek human approval
6 May 2026
Autonomous agents are cool and all, but we all know there are plenty of circumstances where we want human review. Your custom built agent might have instructions to stop and get input, but that
Daily Reading List – May 5, 2026 (#777)
5 May 2026
Today's links look at what happens when 1500 agents hit production at Uber, what a map of system topologies looks like, and how AI is finding 20-year-old bugs in mature software.
Daily Reading List – May 4, 2026 (#776)
4 May 2026
Today's links look at why startups are choosing Flutter in 2026, how to run multiple coding agents safely with git worktrees, and why your pull requests are still too big.
Daily Reading List – May 1, 2026 (#775)
1 May 2026
Today's links look at why databases weren't designed for AI workflows, some lessons learned building MCP servers, and who's giving AI agents the keys to the cloud.
Daily Reading List – April 30, 2026 (#774)
30 Apr 2026
Today's links look at what's different about long-running agents, why AI productivity gains are more modest than expected, and how you can easily generate files in Gemini.
Daily Reading List – April 29, 2026 (#773)
29 Apr 2026
Today's links look at using agents to create agents, what generative UI is actually about, and a thousand real-world AI use cases from actual companies.
Daily Reading List – April 28, 2026 (#772)
28 Apr 2026
Today's links look at what Google Cloud CEO Thomas Kurian thinks about this agentic moment, how the OODA loop applies to AI coding, and which agentic memory pattern to use.
Daily Reading List – April 27, 2026 (#771)
27 Apr 2026
Today's links look at twenty software engineering laws, building agents that learn from experience, and how to improve your writing.