50 essays — long-form writing on technology, investing, and building from The Lossless Group.
From hallucinations to probabilistic creativity, to the need to fulfill its trained duty. AI Models can just make things up. Sometimes amazingly, sometimes catastrophically.
AI is already supporting individual engineers with particular tasks. How can it support large organizations with many teams and millions of lines of code?
Code generators are reshaping software development—speeding up delivery while raising new challenges.
Emergent technology evolves unpredictably—shaping and reshaping our world in surprising ways.
Mindbending sums of money and leadership panics all over the technolgoy world has set a frenzy of activity in the AI Model Wars.
Keeping up with rapid tech change is a relentless challenge, but it’s the key to staying relevant.
At what point is building everything you can dream of cheaper than paying subscriptions?
Organizations that embrace their renegade employees can spark innovation—or risk a mutiny.
Vibe Coding gives more accessing to getting something working.
AI has changed how to develop software, and in many surprising ways.
Retrieval Augmented Generation transforms raw data into enterprise AI gold—if you set it up right.
Effective data gathering is the foundation for building intelligent, reliable AI systems.
To go forth and innovate while not losing the core business or loyalty of the current customer base is the challenge of our new era.
AI models speak in text, JSON, and Markdown. Manipulation of these formats has become essential for productivity, automation, and insight.
Effective data gathering is the foundation for building intelligent, reliable AI systems.
Align more people through vigilant visual communication.
Timing is critical, because startups are not prepared to partner and scale ups will choose partners quickly.
Opinionated engineering delivers clarity and speed—but can also spark debate.
Innovation may be global, but it still clusters in a few creative hotspots.
Decades of data and experience are valuable, but how to bring them into the age of AI?
While Vibe Coding is causing challenges as Software Developers use AI Code Assistants, AI is also showing to give engineering managers superpowers at managing large codebases.
Innovators can de-risk product and market development just by changing what they see as progress.
Open source has become the ultimate catalyst for rapid innovation and zero-to-one breakthroughs.
Tectonic shifts in technology force businesses to reconfigure or risk being left behind.
The new way to get traction and win the market is to make it easy to get started.
Holacracy-inspired reorgs promise agility, but require buy-in at every level to succeed.
We have the opportunity to make data visualization as easy as the AI chatbot. Let's do it!
A Taste of using AI effectively can be magical, but afterwards is a massive amount of reconfiguration and technology adoption.
Innovation markets behave like a multiverse—value clusters, shifts, and leaps across invisible boundaries.
Small teams with focused ideas can spark outsized change.
Challenges ignite innovation—people rally around a cause, and breakthroughs follow.
Technology’s history is a timeline of breakthroughs—each milestone reshapes what’s possible.
Chain and sequence AI operations with Model Context Protocol, a game-changer for AI use and code generation.
The right tool at the right time can spark creativity and accelerate progress.
Web security isn’t just about code—it’s about anticipating naivety at every layer.
Docker revolutionized software deployment by making containers the new standard for portability and scalability.
GitHub transformed how developers collaborate, making open source and distributed teamwork the global default.
Markdown made digital writing simple, portable, and universally accessible—empowering everyone to publish.
REST APIs revolutionized digital integration, making it easy for apps and services to communicate everywhere.
Building your own PC is the gateway to running powerful AI models locally, unlocking performance beyond cloud costs.
Old-school, textbook approaches are the secret to mastering the future of AI — sometimes, progress means going back to proven basics.
A disciplined, step-by-step approach is the key to derisking new product launches.
Linux isn’t just for pros—everyone can benefit from its power, freedom, and flexibility.
User Research Repositories are an upfront investment for enormous gains over time.
UI stability often wins over constant change — consistency keeps users loyal.
The founder’s toolkit is evolving faster than ever—what’s essential today may be obsolete tomorrow.
The terminal is making a comeback — simplicity and power are winning over flashy GUIs.
Kubernetes made cloud-native infrastructure scalable, resilient, and automated for everyone.