“Help” Doesn't Mean What it Meant
A software engineer reflects on the changing meaning of 'help' in tech, where coding is replaced by documentation and AI agents.
A software engineer reflects on the changing meaning of 'help' in tech, where coding is replaced by documentation and AI agents.
Microsoft announces MAI-Thinking-1 and MAI-Code-1-Flash LLMs, with low active parameters and claims of performance, but training data issues remain.
Wolverine and Marten improve F# support with pre-generated code and Roslyn optimizations for better deployment.
Explores how AI changes the definition of a 10x engineer, shifting focus from writing more code to higher-impact decisions and judgment.
Explores the end of traditional coding, shifting from writing syntax to expressing intent and leading AI agents in software development.
A practical guide on using Agentic AI in software development, sharing a workflow for building projects with AI as a supportive tool.
A developer shares personal experiences with AI coding agents, noting significant improvements in capability and efficiency, while discussing limitations and best practices.
Customizing Wolverine code generation to create pure functions for HTTP endpoints, using automatic ReportId generation.
A reflection on AI's impact on content creation, drawing parallels to Tom Petty's 'The Last DJ' and questioning the role of human originality.
Proposes treating AI coding assistant instructions as versioned, shared infrastructure to encode team standards and ensure consistent code quality.
Explores the risks of using AI to both create and test software, creating an echo chamber effect.
Learn how to redact sensitive data in jOOQ 3.21+ logs using a code generation configuration to enhance security.
Guide to generating structured code using Azure OpenAI and .NET, with setup and code examples.
Explores the 'One More Prompt' risk in agentic coding, where developers over-scope features by continuously prompting AI agents, leading to massive pull requests.
A developer's month-long experiment with OpenAI's Codex, exploring how AI is fundamentally changing software development and the programmer's role.
Testing AI's ability to generate Lilypond code from sheet music images, with mixed and often inaccurate results from Grok and ChatGPT.
Satirical article about a fictional AI service that recreates open source projects to bypass licensing obligations.
Explores the transformative impact of AI on software development, featuring insights from industry experts on the future of coding.
An analysis of AI's impact on software development, based on interviews with 70+ developers, discussing automation, testing, and the future of coding.
AI-assisted coding reveals a philosophical divide between developers who prioritize craft and those focused on results.