The idea that AI agents can handle all work is appealing. But in regulated industries like finance and healthcare, it breaks down. This piece shows why AI’s limits lie in responsibility, not technology—and why it must be controllable, not autonomous. This episode contains an AI-narrated version of the original blog post.

Linux began as a student’s hobby project, not a corporate system. Through the GPL, community collaboration, and the rise of the internet, it grew into the core of global server infrastructure, reshaping the software industry. This episode contains an AI-narrated version of the original blog post.

Linux, Netscape, Apache. A few choices and events reshaped how software is owned and shook the entire development ecosystem. This episode contains an AI-narrated version of the original blog post.

Software is both a history of technology and a history of events. From Linux, Git, GitHub, npm, Log4Shell, to AI, this series follows 20 defining moments that reshaped the development world and explains how today’s development environment came to be. This episode contains an AI-narrated version of the original blog post.

AI search is not just a feature upgrade. It breaks the link between search and the web, keeping users inside the platform. This shift disrupts publishers’ revenue and the web ecosystem, turning the issue into one of structure and power. This episode contains an AI-narrated version of the original blog post.

AI reduced the effort of writing code but did not eliminate complexity—**it pushed it into less visible places**. This article reframes programming as **complexity control**, not coding, and analyzes why understanding has become more critical in the AI era. This episode contains an AI-narrated version of the original blog post.

AI makes code 10× faster.But the speed of understanding that code remains the same. Amazon’s outage was not just an accident— it revealed where the development process breaks in the AI era. This episode contains an AI-narrated version of the original blog post.

The era of solving everything with a single LLM is coming to an end. Codex Subagents represent a structural shift, transforming AI from a single tool into a system composed of role-based components. This episode contains an AI-narrated version of the original blog post.

Open source is valuable not because it is free, but because it creates greater value through collaboration and ecosystems. This article concludes the series by tracing the evolution of open source business models and exploring what comes next. This episode contains an AI-narrated version of the original blog post.

In the cloud era, new tensions emerged in the open source ecosystem. Licenses like SSPL, Elastic License, and BSL became strategies for companies to protect their business, not just legal tools. This article explores why these license wars began and what they mean for the future of open source. This episode contains an AI-narrated version of the original blog post.

The cloud era is reshaping open source economics. The Elasticsearch vs AWS conflict reveals a structural tension between open source companies and cloud platforms. This article explores how Managed Services changed the model and why Elastic changed its license. This episode contains an AI-narrated version of the original blog post.

Open source is widely used but hard to monetize. The Open Core model solves this by keeping core features free and selling enterprise features. This article explores its origins, revenue model, and inherent tensions. This episode contains an AI-narrated version of the original blog post.

How can a multi-billion-dollar company be built on free software? Red Hat turned Linux and GPL software into a business by selling trust and support, not code. This article explores RHEL, subscriptions, CentOS, and IBM’s $34B acquisition—the most successful open source model. This episode contains an AI-narrated version of the original blog post.

Open source powers global software infrastructure, yet most projects fail to make money. Despite widespread use, many rely on individual effort and unpaid labor. This article explores why open source succeeds technically but struggles economically—and the structural reasons behind it. This episode contains an AI-narrated version of the original blog post.

How does freely available software make money? This series explores open source not as technology, but as a business model—why most projects fail to monetize, how Red Hat became a giant, and what the Elastic vs AWS conflict reveals about the economics of open source. This episode contains an AI-narrated version of the original blog post.

In the age of AI-generated code, we have gained more than a new tool. Copyright, open-source licenses, and software supply chains are all being questioned. This final piece explores the choices we must make between AI-created code and human-made rules. This episode contains an AI-narrated version of the original blog post.

AI code generation is changing how we build software, but also creating a new supply chain. Code from models trained on vast data is hard to trace in origin, licensing, and security. This article explores how AI compresses the open-source ecosystem into a new dependency layer. This episode contains an AI-narrated version of the original blog post.

The rise of AI-generated code is challenging the foundations of GPL and Copyleft. In an era where code can be produced infinitely, does Copyleft still matter? This article explores its origins and the new legal and technical questions AI introduces to its future. This episode contains an AI-narrated version of the original blog post.

Does AI-generated code have copyright? U.S. courts’ Human Authorship principle suggests it may not be legally protected. If so, who owns AI code, and what meaning do licenses still have? This episode contains an AI-narrated version of the original blog post.

Clean-room implementation is not just rewriting code—it is a structured process to legally isolate information from the original source. Born from IBM PC BIOS reverse engineering, it became a key standard in software copyright disputes and now raises new questions in the age of AI-generated code. This episode contains an AI-narrated version of the original blog post.