Weekly tech newsletter covering AI experiments, agentic AI browsers, Tailscale, and developer tools, with exclusive content for members.
Explains the critical importance of defining clear performance targets and monitoring production metrics for effective software performance testing.
A technical guide on implementing centralized test result printing and progress reporting in a Fortran testing framework.
A Microsoft MVP retires after 12 years upon accepting a full-time role at Microsoft, reflecting on the journey and future community contributions.
A summary of recent Wolverine releases, highlighting new features like inferred message grouping, EF Core domain events, and bug fixes.
A conversation on how LLMs help shape software abstractions and manage cognitive load in building systems that survive change.
A design leader's struggle with unclear project requirements highlights the importance of aligning on inputs early to improve team efficiency and output quality.
AI won't eliminate junior developers but will challenge senior engineers who haven't evolved beyond just writing code to focus on higher-level design and communication.
A developer shares key lessons from using AI agents full-time, focusing on workflow improvements, prompt strategies, and productivity gains in software development.
Experiments with AI coding agents building a web browser from scratch, generating over a million lines of code in a week.
Experiments with AI coding agents scaling to build a web browser from scratch, generating over a million lines of code.
A recap of the GitHub Universe 2025 meetup in Warsaw, focusing on AI tools like GitHub Copilot, security, and developer experiences.
Discusses how LLMs fit into a software developer's career, emphasizing the enduring importance of understanding fundamental computer science concepts.
A developer's experience using AI coding agents in a real production environment, highlighting productivity gains and the critical role of engineering expertise.
A developer's reflection on the psychological impact and community effects of over-reliance on AI coding assistants, likening them to personal daemons.
Discusses the pitfalls of blindly copying code from AI tools, highlighting issues with confident but incorrect or incompatible snippets.
A developer shares advice on navigating a tough tech job market by building real projects, freelancing, or joining startups to create opportunities.
A developer's manifesto on using AI as a tool without letting it replace critical thinking and personal intellectual effort.
A developer shares lessons on managing open source projects, focusing on people skills, ego management, and leadership structures for success.
A software developer's monthly retrospective on writing a book about effective writing for developers, covering progress, goals, and metrics.
