A critique of the 'pillars of observability' as a marketing term, arguing for a focus on technical 'signals' like traces, metrics, and logs instead.
A neurodiverse software engineer uses Linux server analogies like OOM kills to explain how their brain manages cognitive load and sensory input.
A guide on teaching the Kiro AI agent to work with custom libraries and DSLs using steering files and the Model Context Protocol (MCP).
A timeline and analysis of major generative AI model releases and a security framework for AI agents from late 2025.
Explains the 'edit workflow' in Jujutsu VCS, a version control system, highlighting differences from Git and practical commands.
A collection of links and commentary on tech topics including AI, government software projects, and cybersecurity policy.
A critique of the bureaucratic and low-agency culture hindering tech entrepreneurship in Europe, arguing for personal responsibility over resignation.
A podcast episode discussing the inaugural Django on the Med event, its origins, code improvements made, and future plans.
Argues that deep JavaScript knowledge remains crucial despite AI code generators, emphasizing human oversight and career security.
Mitchell Hashimoto details using AI agentic coding tools to develop an unobtrusive macOS auto-update feature for Ghostty, sharing the full process and token costs.
A review of 'The Farmer Was Replaced', a game that teaches programming by using Python code to automate farm tasks with a drone.
Critique of superficial tech transformations that rename teams and processes without addressing root causes, leaving delivery slow and ineffective.
Explores key new features in C# 14 and .NET 10, including field-backed properties and partial events/constructors.
A personal recap of the author's experience and key moments from attending DjangoCon US 2025, shared via social media posts.
A developer reflects on the shift from classic programming debates to pervasive AI discussions, exploring its practical use, ethical concerns, and impact on the developer community.
A developer's perspective on how most users interact with open-source software, focusing on practical usage over deep engagement.
A tech professional explains why they refuse to provide references for strangers, arguing it's unethical to vouch for people they don't know.
Engineering leaders must prepare their teams for AI's impact on software development careers, focusing on skills and expectations.
A Thoughtworks engineer explores the nuanced risk assessment required when using AI to generate code, moving beyond a simple 'good or bad' debate.
Explores how Python's readable, English-like syntax reflects a philosophy of programming that reduces cognitive load and shapes computational thinking.
