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.
An analysis of whether AI has replaced human software developers, arguing that AI currently augments rather than replaces developers.
A developer explains how they use GitHub Copilot and other AI tools for design thinking and as a 'second brain' in software development.
Explores the integration of Java with Generative AI and Large Language Models (LLMs) for building innovative applications like AI chatbots.
Explains the concept of bikeshedding, where teams focus on trivial details over critical issues, and offers strategies to stay focused.
A developer shares their experience of returning to side projects after a long break, finding creative joy and relief in the process.
A developer shares their personal journey into open source, detailing their initial steps with React Query and the TanStack community in late 2020.
A developer's personal year-in-review, reflecting on coding work, side projects, and blog writing habits in 2024 and looking ahead.
An interview with engineer Phil Eaton on the motivations, benefits, and surprising impacts of maintaining a consistent technical blog.
A critique of the "Observability 3.0" label and a discussion on the evolution from multi-pillar to unified storage models in software telemetry.
Author shares lessons learned from writing a technical book on WebAssembly, covering motivation, process, and surprising insights.
Explores the rise of 'vibecoding'—AI-assisted no-code/low-code development—and its surprising viability for both technical and non-technical users.
Argues that coding is fundamental thinking and creativity, and that tech professionals must adapt beyond just execution to avoid career risk in the AI era.
A developer shares insights and practical tips from a week of experimenting with local LLMs, including model recommendations and iterative improvement patterns.
AWS Developer Day 2025 recordings showcase how generative AI is transforming software development, featuring sessions on tools, productivity, and skills.
A developer argues for writing blog posts about the messy, real-world problem-solving process, not just polished 'happy path' tutorials.
