AI progress in 2025 📈
An analysis of key AI trends in 2025, focusing on industry leaders, AGI debates, and AI's impact on software development and science.
An analysis of key AI trends in 2025, focusing on industry leaders, AGI debates, and AI's impact on software development and science.
A software engineering article advocating for 'Question Driven Development' by asking critical questions before and after implementing features to ensure completeness.
Explores GitHub Copilot Coding Agent, an AI virtual teammate that independently implements tasks and features within repositories.
An analysis of standard libraries in programming languages, exploring their benefits, criticisms, and role in language ecosystems.
A software engineer critiques the 'democratization' of AI in development, arguing it oversimplifies and risks creating fragile software without CS fundamentals.
A podcast episode discussing design/development fundamentals, AI's impact, collaboration, and navigating career values in tech.
A discussion on open source funding, sustainability, and the Open Source Pledge with Chad Whitacre, exploring how companies can support projects they rely on.
Critiques the limited scope of current customer support automation and argues for more ambitious AI solutions across industries.
A software engineer shares strategies for managing cognitive load and improving productivity through documentation, delegation, and focused task completion.
A developer argues that AI coding agents are not like junior developers but rather 'amnesiac spies' with vast knowledge but no memory or growth.
A hiring manager shares advice for technical interviews, framing them as a mutual sales pitch where candidates should position themselves as problem-solvers.
Explores how AI could transform large tech companies into vast networks of micro-startups, shifting the role of developers to broader builders.
A satirical look at how modern tech problems like email reputation mirror ancient superstitious solutions.
A software engineer discusses strategies for prioritizing and integrating technical cleanup work into the development process, arguing against isolated "technical sprints".
A former Silicon Valley engineer reflects on the bias against computer science graduates and the culture of glorifying self-taught, college-dropout developers.
A talk about the Djangonaut Space project, a community mentorship program for contributing to the Django web framework.
Explores the synergy between observability and performance in modern software, highlighting tools like Jaeger and Prometheus for microservices.
A developer shares lessons from two failed CI/CD products and how they led to creating CI Insights, an observability tool for CI pipelines.
A tech founder reflects on using Twitter for technical discourse, product development, and personal motivation, while acknowledging its addictive nature.
A rebuttal to claims that AI will replace software engineers, arguing that coding is a small part of the job and that good software design principles already exist.