> For the complete documentation index, see [llms.txt](https://weekly-essay.mikey.wang/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://weekly-essay.mikey.wang/mikey-wangs-memos.md). # Mikey’s Memos I’m Mikey, a long-term builder who started as a software engineer. Here I record my ongoing observations on AI, software engineering, products, business, and personal productivity systems. I care more about the structural changes behind the tools: how technology reshapes organizations, business, and individuals. If you value practical experience, independent judgment, and a long-term perspective, you can subscribe via RSS. {% updates format="full" %} {% update date="2026-07-24" %} ## W30-Model × Harness: The Smart Routing Concept The combination of the model and the Harness together determines the cost and quality of a Coding Agent. The next layer of infrastructure will continuously evaluate enterprise private tasks and route requests to the Pareto-optimal configuration. Read the full article: {% endupdate %} {% update date="2026-07-13" %} ## W29-The Boundaries of Loop Engineering and RSI Loop Engineering is already a real source of productivity; RSI is still the capability boundary we are approaching. The key question is whether a loop changes task outcomes, processes, or the mechanism that creates the next generation of capabilities. Read the full article: {% endupdate %} {% update date="2026-07-06" %} ## W28-AI’s Repricing of Utility Software AI is lowering the cost of building personalized tools. The moat for utility software will shift from feature breadth to reliably and consistently completing end-to-end workflows. Read the full article: {% endupdate %} {% update date="2026-07-01" %} ## W27-The Builder’s Personal Productivity System When you combine everyday tools into a personal productivity system, the key is not the number of tools, but creating a closed loop between information, tasks, and output. Read the full article: {% endupdate %} {% update date="2026-05-18" %} ## W21-The Tipping Point in Software Engineering Software engineering is shifting from “humans write code” to “humans design constraints, and agents handle implementation,” which moves engineering value up the stack. Read the full article: {% endupdate %} {% update date="2026-05-11" %} ## W20-Heuristic Systems and Checkout Strategy Platforms By rebuilding checkout strategy management with a Heuristic System, this piece examines how complex strategies can gain a unified way to express, validate, and evolve. Read the full article: {% endupdate %} {% update date="2026-05-04" %} ## W19-Taste Will Become the New Core Skill When AI lowers execution costs, knowing what is worth doing and what counts as good will become a rarer core skill. Read the full article: {% endupdate %} {% update date="2026-04-13" %} ## W16-No-Code, Rapid Iteration, and New Engineering Constraints No-code and AI accelerate iteration, but they also amplify engineering constraints around architecture, quality, and long-term maintenance. Read the full article: {% endupdate %} {% update date="2026-03-23" %} ## W13-Meituan’s Q4 Earnings and Why the AI Era Needs a Unified, Efficient Toolchain Starting from Meituan’s Q4 earnings and AI engineering practice, this piece discusses why teams need a unified and efficient toolchain. Read the full article: {% endupdate %} {% update date="2026-03-16" %} ## W12-D2 Observation: Front-End Vitality in the AI Wave Based on D2, this article looks at how the role of front-end development is changing in the AI wave, and how front-end capabilities are moving toward broader problem solving. Read the full article: {% endupdate %} {% update date="2026-03-09" %} ## W11-The Evolution of Twitter’s Algorithm and Iteration in Source Management Using Twitter’s algorithm evolution as a starting point, this piece discusses source management: the stronger the algorithm becomes, the more important it is to actively filter and verify information sources. Read the full article: {% endupdate %} {% update date="2026-03-02" %} ## W10-After the OpenClaw Era: The Coding Singularity Has Arrived, But the New Production Relations Have Not Coding capability has made a leap, but organizational structures, incentives, and production relations have not changed in step. Read the full article: {% endupdate %} {% update date="2026-03-01" %} ## W09-A Thinking Framework Under Market Extremes When market sentiment reaches extremes, use company culture, business model, independent thinking, and macro signals as anchors instead of noise, so your judgment can be reviewed and your framework remains intact without emotion eroding it. Read the full article: {% endupdate %} {% update date="2026-01-25" %} ## W04-What Does AI-Ready Mean? AI-ready is not about chasing a particular model or tool. It is about building engineering standards that compound over time and naturally absorb progress in LLMs and infrastructure. Read the full article: {% endupdate %} {% update date="2026-01-18" %} ## W03-Lessons from Investigating Advanced Issues For difficult front-end issues, you need to distinguish hidden code defects from uncertain runtime behavior: first use workarounds to contain the risk, then rely on long-term observation to get closer to the truth. Technical explanations are not always complete. Read the full article: {% endupdate %} {% update date="2026-01-11" %} ## W02-Rethinking Complex Abstractions AI coding is pushing software engineering from a “scarcity economy” into a “plenty economy.” Complex abstractions may no longer reduce costs; Tailwind’s dilemma also exposes how the old open-source model of monetizing attention is losing effectiveness. Read the full article: {% endupdate %} {% endupdates %}