<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent on Yongjie Xue</title><link>https://www.yongjiexue.io/en/tags/agent/</link><description>Recent content in Agent on Yongjie Xue</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 07 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.yongjiexue.io/en/tags/agent/index.xml" rel="self" type="application/rss+xml"/><item><title>How Do You Burn Through 10 $200 Codex Subscriptions?</title><link>https://www.yongjiexue.io/en/ai/10x-subscription/</link><pubDate>Mon, 07 Sep 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/10x-subscription/</guid><description>Buying 10 AI subscriptions is easy. The real bottleneck is turning tokens into useful output—and using automation to scale your time, attention, and ability to judge the results.</description></item><item><title>Documentation-Driven Development: The First Secret to AI Software Engineering</title><link>https://www.yongjiexue.io/en/ai/sdd/</link><pubDate>Sat, 29 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/sdd/</guid><description>People often ask: how do I ensure quality when AI writes the code? My answer has four parts: documentation-driven development, adversarial review, brute-force testing, and complexity penalties.</description></item><item><title>AGI Machine Guns Are Now Standard Issue</title><link>https://www.yongjiexue.io/en/ai/ai-machinegun-for-everyone/</link><pubDate>Thu, 20 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/ai-machinegun-for-everyone/</guid><description>In one month, my friend Jiang cobbled together four databases, an operating system, a programming language, a compiler, and a CPU—a microcosm of today&amp;rsquo;s AI frenzy.</description></item><item><title>What Can a One-Person Company Ship with $1,000 a Month in AI Subscriptions?</title><link>https://www.yongjiexue.io/en/ai/yield-with-agents/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/yield-with-agents/</guid><description>Over the past month, I kept seven $200 AI subscriptions spinning—five paid, two comped—and burned through more than 100 billion tokens. Here is what came out: Silo, Pigsty, PGEXT, SOW, OINK, and a pile of code, packages, documentation, releases, products, and durable assets.</description></item><item><title>AGI Milestone: The Machine That Wouldn't Give Up</title><link>https://www.yongjiexue.io/en/ai/agi-milestone/</link><pubDate>Wed, 22 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/agi-milestone/</guid><description>An OpenAI agent&amp;rsquo;s attack on Hugging Face marks a milestone: what crossed the threshold was not merely model intelligence, but persistence that can be bought with compute, copied, and run in parallel.</description></item><item><title>Quota Reset: Round N of the Codex/Claude War Begins</title><link>https://www.yongjiexue.io/en/ai/reset-codex-claude/</link><pubDate>Mon, 13 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/reset-codex-claude/</guid><description>Codex reset its quotas again this morning and dropped the five-hour limit. Claude immediately extended Fable access through the 17th. When vendors fight, users win—don&amp;rsquo;t miss the window.</description></item><item><title>Pedaling the Codex/Claude Bike Until the Wheels Smoke</title><link>https://www.yongjiexue.io/en/ai/bicycle/</link><pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/bicycle/</guid><description>Claude Fable and GPT-5.6 have arrived back to back, followed by repeated quota resets. How do you turn a fleeting Coding Plan windfall into real output? Here is my playbook for model specialization, adversarial review, spec-driven design, closed-loop verification, context management, and one person leading a crew of AIs.</description></item><item><title>Fifty Years of Love and War: File Systems, Databases, and the Agent-Era Storage Endgame</title><link>https://www.yongjiexue.io/en/ai/db-fs/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/db-fs/</guid><description>File systems and databases have spent fifty years fighting and borrowing from each other. The agent era may seem to put file systems back on top, but the real winner may be databases that learn to speak the file system&amp;rsquo;s dialect: models provide understanding, databases provide guarantees, and discovery comes from a protocol layer where ls works on everything.</description></item><item><title>The Karma of Open Source: When Code Is Worthless, Where Does Trust Come From?</title><link>https://www.yongjiexue.io/en/ai/oss-karma/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/oss-karma/</guid><description>AI is driving the cost of producing code toward zero. It cannot compress time, track records, or accountability. The real value of open source is not yesterday&amp;rsquo;s code, but a system trusted to deliver on tomorrow&amp;rsquo;s promises.</description></item><item><title>Claude Fable First Impressions: The Pendulum Swings Back</title><link>https://www.yongjiexue.io/en/ai/claude-fable-impression/</link><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/claude-fable-impression/</guid><description>Claude Fable is genuinely insightful and deserves to be called the new SOTA. But its high price, dynamic downgrades, limited subscription window, and mandatory data retention badly undermine the experience.</description></item><item><title>The Cerebellum: The Other Half of Intelligence—and the Strongest AI Hasn't Touched It</title><link>https://www.yongjiexue.io/en/ai/cerebellum/</link><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/cerebellum/</guid><description>The cerebellum changed how I see AI&amp;rsquo;s frontier: LLMs have already absorbed humanity&amp;rsquo;s explicit knowledge and are beginning to acquire interventional data through agentic RL. What they still lack is a vessel for individual history.</description></item><item><title>Cancel Claude, Switch to Codex</title><link>https://www.yongjiexue.io/en/ai/move-to-codex/</link><pubDate>Fri, 08 May 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/move-to-codex/</guid><description>When my $200 Claude Code Max subscription expired, I canceled it and moved my primary workflow to Codex. The only way to know which one is better is to put it to work.</description></item><item><title>AI Is Bringing Down the Scaffolding of Trust</title><link>https://www.yongjiexue.io/en/ai/ai-trust-issue/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/ai-trust-issue/</guid><description>The most dangerous change in the AI era is not that machines can write articles, draw images, or generate video. It is that content itself is losing its standing as evidence.</description></item><item><title>Give DBA Agents a Body</title><link>https://www.yongjiexue.io/en/ai/dba-agent-body/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/dba-agent-body/</guid><description>Today&amp;rsquo;s models are smart enough. What they lack is a body: a deterministic runtime that is observable, controllable, and reversible. Pigsty is evolving from a PostgreSQL distribution into an Agent Runtime, giving DBA and Dev Agents the operational reach and context they need to enter real production environments.</description></item><item><title>The Three-Way Endgame: Why Agent Memory Frameworks Are a Dead End</title><link>https://www.yongjiexue.io/en/ai/agent-memory-framework/</link><pubDate>Sun, 19 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/agent-memory-framework/</guid><description>A cold shower for the red-hot agent memory market—not because agents do not need memory, but because memory is the endgame moat. That moat belongs to models, harnesses, and databases, not today&amp;rsquo;s &amp;ldquo;memory frameworks.&amp;rdquo;</description></item><item><title>Cyber Dharma: A New Engineering Answer to Ancient Questions</title><link>https://www.yongjiexue.io/en/ai/cyber-dharma/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/cyber-dharma/</guid><description>A project manifesto: why build Cyber Dharma, and what it is not.</description></item><item><title>Burning Hundreds of Millions of Tokens a Day. Then What?</title><link>https://www.yongjiexue.io/en/ai/tokenmaxxing/</link><pubDate>Mon, 13 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/tokenmaxxing/</guid><description>Once token burn turns from usage exhaust into a KPI and leaderboard, it quickly mutates into theater. Don&amp;rsquo;t post fuel burn. Post where you got to.</description></item><item><title>Why PostgreSQL Won in the AI Era</title><link>https://www.yongjiexue.io/en/ai/postgres-and-ai/</link><pubDate>Sat, 11 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/postgres-and-ai/</guid><description>Boring technology won the wildest era. A look at extensibility, agent choice, database cloning, and the future of the DBA.</description></item><item><title>Good News: Claude Code Got "Open-Sourced" Yet Again</title><link>https://www.yongjiexue.io/en/ai/cc-leak/</link><pubDate>Tue, 31 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/cc-leak/</guid><description>SOTA coding agent Claude Code leaked its source again, after falling into the same hole twice. The whole codebase is out in public. Performance art at its finest.</description></item><item><title>The Nature of Intelligence: The Free Energy Principle</title><link>https://www.yongjiexue.io/en/ai/fep/</link><pubDate>Sat, 28 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/fep/</guid><description>The free energy principle tries to explain life, perception, learning, action, and intelligence within one mathematical framework. It also offers a deeper lens for understanding LLMs, agents, and the next generation of AI systems.</description></item><item><title>OpenClaw Broke npm Again: What Happens When You Ship Without Testing</title><link>https://www.yongjiexue.io/en/cloud/openclaw-drama/</link><pubDate>Wed, 25 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/cloud/openclaw-drama/</guid><description>OpenClaw v2026.3.22 was published to npm without its web console frontend and related build assets. The bigger problem is not the packaging accident itself, but the complete absence of post-install verification in the release process.</description></item><item><title>Put Your AI Agent's State in a Database</title><link>https://www.yongjiexue.io/en/db/agent-state-db/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/agent-state-db/</guid><description>Put an AI agent&amp;rsquo;s working directory, configuration, and memory on a PGFS mount, and you are effectively storing its state in PostgreSQL. That gives you not only a PITR &amp;ldquo;time machine,&amp;rdquo; but also a shared workspace and shared memory for multiple agents across multiple devices.</description></item><item><title>360 Shipped Its Wildcard TLS Private Key Inside a Public Installer</title><link>https://www.yongjiexue.io/en/db/claude-360-claw/</link><pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/claude-360-claw/</guid><description>360&amp;rsquo;s newly released AI Agent product shipped a public installer containing the private key for its *.myclaw.360.cn wildcard certificate. Public verification and local reproduction also exposed inconsistencies in the OCSP revocation path.</description></item><item><title>Tencent Cloud 'Reduced' the Lobster King's Load by 180 GB</title><link>https://www.yongjiexue.io/en/cloud/tencent-openclaw/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/cloud/tencent-openclaw/</guid><description>Tencent Cloud mirrored OpenClaw&amp;rsquo;s official skill marketplace into its own SkillHub and then claimed it was helping the upstream project. The incident turned into a case study in open-source manners, mirror ethics, and platform power.</description></item><item><title>OpenClaw Hype: Foam on Top of the Productivity Revolution</title><link>https://www.yongjiexue.io/en/ai/openclaw-hype/</link><pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/openclaw-hype/</guid><description>OpenClaw looks exciting because it turns agents into a chat-style experience. But the real productivity gains come from high-capability subscription agents and disciplined workflows, not from lobster-flavored wrappers.</description></item><item><title>How Much Can One Person Get Done with AI over Spring Festival?</title><link>https://www.yongjiexue.io/en/ai/how-much-ai-can-do/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/how-much-ai-can-do/</guid><description>Over roughly ten days during Spring Festival, I used Claude Code, Codex, and a pile of workflows to translate books, ship releases, package software, refresh websites, and keep publishing daily. This is what solo output looks like when agent leverage really lands.</description></item><item><title>When Coding Becomes Cheap, What Still Matters?</title><link>https://www.yongjiexue.io/en/ai/try-codex/</link><pubDate>Tue, 10 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/try-codex/</guid><description>Codex 5.3 xHigh pushed my workflow past a tipping point: writing code is no longer the scarce resource. The real leverage is design quality and engineering acceptance. This is the practical loop I use to ship reliable software with AI agents.</description></item><item><title>The Agent Moat: Runtime</title><link>https://www.yongjiexue.io/en/ai/agent-moat/</link><pubDate>Fri, 06 Feb 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/agent-moat/</guid><description>A mediocre local who knows the terrain beats a genius parachuted into unknown territory. Intelligence without context is idle. An agent without a runtime is vapor.</description></item><item><title>The Great Software Meltdown: When Translation Layers Get Squashed</title><link>https://www.yongjiexue.io/en/ai/neo-software/</link><pubDate>Sat, 31 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/neo-software/</guid><description>SaaS and workflow software are dead. From APPs &amp;amp; GUIs to Agents, Databases, and CLI.</description></item><item><title>Agent OS: We're Building DOS Again</title><link>https://www.yongjiexue.io/en/ai/agent-os/</link><pubDate>Mon, 26 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/agent-os/</guid><description>LLM = CPU. Context = RAM. Database = Disk. Agent = App. The mapping is surprisingly clean. And if OS history is any guide, we may know what comes next — and what&amp;rsquo;s still missing.</description></item><item><title>Claude Code Observability</title><link>https://www.yongjiexue.io/en/ai/claude-observability/</link><pubDate>Sun, 25 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/claude-observability/</guid><description>&lt;p&gt;Yesterday I &lt;a href="https://x.com/ronvonng/status/2014972720489091514"&gt;tweeted&lt;/a&gt;: &amp;ldquo;Built a Claude Code Grafana dashboard to see how it makes decisions, uses tools, and burns through API credits.&amp;rdquo; Didn&amp;rsquo;t expect so much interest.&lt;/p&gt;&#10;&lt;img class="td-image" src="https://www.yongjiexue.io/ai/claude-observability/tweet-dashboard.webp" alt="Tweet screenshot" width="1080" height="1415" loading="lazy" decoding="async"&gt;&lt;p&gt;So let&amp;rsquo;s talk about Claude Code observability.&lt;/p&gt;&#10;&lt;hr&gt;&#10;&lt;h2 id="why-observability"&gt;Why Observability?&#10;&lt;/h2&gt;&#10;&lt;p&gt;Simple idea: I want to understand Claude Code&amp;rsquo;s internals. It&amp;rsquo;s not open source (&lt;a href="https://mp.weixin.qq.com/s/xaeVafPxUfAgQSzl-n3w2w"&gt;well, it was leaked once&lt;/a&gt;), but you can reverse-engineer its behavior through metrics and logs.&lt;/p&gt;</description></item><item><title>Claude Code Quick Start: Using Alternative LLMs at 1/10 the Cost</title><link>https://www.yongjiexue.io/en/ai/claude-code-intro/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/claude-code-intro/</guid><description>How to install and use Claude Code? How to achieve similar results at 1/10 of Claude&amp;rsquo;s cost with alternative models? A one-liner to get CC up and running!</description></item><item><title>What Kind of Database Do AI Agents Need?</title><link>https://www.yongjiexue.io/en/db/agent-native-db/</link><pubDate>Sun, 21 Dec 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/db/agent-native-db/</guid><description>The bottleneck for AI agents is not the database kernel, but integration above it. Muscle memory (in-database computation), associative memory (vector-graph fusion), and the courage to experiment (Git for Data) will be critical—none of them requires a new engine.</description></item><item><title>Google AI Toolbox: Production-Ready Database MCP is Here?</title><link>https://www.yongjiexue.io/en/ai/google-mcp/</link><pubDate>Wed, 09 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/google-mcp/</guid><description>Google recently launched a database MCP toolbox, perhaps the first production-ready solution.</description></item><item><title>In the AI Era, Software Starts at the Database</title><link>https://www.yongjiexue.io/en/ai/ai-agent-era/</link><pubDate>Sun, 27 Apr 2025 00:00:00 +0000</pubDate><guid>https://www.yongjiexue.io/en/ai/ai-agent-era/</guid><description>Future software = Agent + Database. No middle tiers, just agents issuing CRUD. Database skills age well, and PostgreSQL is poised to be the agent-era default.</description></item></channel></rss>