Explores why AI coding agents don't accelerate software delivery, arguing that code generation is no longer the primary bottleneck.
Explores how the metrics platforms expose (like engagement) shape developer behavior and product ethics, arguing they are not neutral technical choices.
Explores how large language models (LLMs) act as intimate cognitive interfaces, reshaping human thought through language and raising ethical concerns.
Developer announces 'Haunted House Software' as a brand for releasing personal apps, starting with ScratchBook for Mac.
An article arguing for the importance of correctness in software, especially in critical systems like reporting and ETL, and discussing when it is essential.
Argues for rigorous scientific studies on the impact and risks of using LLMs in software development, highlighting current lack of impartial research.
A programmer defends PHP as a tool and argues that AI, like any technology, is just a human-made tool to be used appropriately.
Analyzes the hidden costs and skill erosion of using AI for coding, emphasizing the need for human oversight.
A technical architect explores using local LLMs as junior developers for a blog migration, analyzing their strengths and common pitfalls.
Developer updates on pimsync, davcli, and Matridge projects, covering new features like interactive sync and one-way sync.
A senior engineer contrasts disciplined, multi-agent AI workflows with basic AI-assisted coding, arguing that discipline is now the key differentiator in software development.
A critique of relying on others' opinions about coding assistants, urging developers to trust their own skills and curiosity.
Analysis of the current tech consulting market downturn, exploring causes like AI adoption and economic uncertainty based on a LinkedIn poll.
A monthly roundup of tech links focusing on data engineering, Kafka, AI, and software development, including personal articles and industry news.
A developer shares critical drawbacks of using Claude Code for AI-assisted programming, focusing on hidden issues like problematic test generation and maintenance challenges.
Explores how AI-generated code creates 'cognitive debt'—a loss of system understanding—which can paralyze developers more than technical debt.
A developer shares his experience using Claude AI to accelerate coding tasks, including database support and performance optimizations.
Introducing the Ideation skill for Claude Code, a structured pipeline for turning vague ideas into actionable, high-confidence technical plans.
Martin Fowler shares insights from a software retreat on how LLMs impact senior, mid-level, and junior developers, and discusses cognitive debt.
Explains why Infrastructure-as-Code's primary benefit is correctness and consistency, not just speed, leading to stable production environments.
