Trust yourself
A critique of relying on others' opinions about coding assistants, urging developers to trust their own skills and curiosity.
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.
Explores how AI-assisted coding creates a bottleneck in code review, comparing it to historical industrial constraints and questioning sustainability.
Explains why Infrastructure-as-Code's primary benefit is correctness and consistency, not just speed, leading to stable production environments.
Author corrects terminology from 'overseer' to 'supervisor' for coding agents, acknowledging harmful historical connotations.
Author corrects terminology from 'overseer' to 'supervisor' for coding agent management, acknowledging harmful historical connotations.
A software developer's monthly retrospective on writing a book about effective writing for developers, covering progress, AI experiments, and reader growth strategies.
GLM-5, a massive new 754B parameter open-source AI model, is discussed in the context of the emerging field of 'Agentic Engineering' for software development.
A daily tech reading list covering AI-generated code, tech debt, AI's impact on work, and updates on tools like Go 1.26 and Vertex AI.
A daily tech reading list covering AI agents, software development trends, OpenTelemetry, low-code platforms, and new Google Cloud features.
Martin Fowler reflects on the future of software development with AI, discussing cognitive debt, the role of LLMs, and how they might change programming.
A study finds AI tools increase cognitive load and work intensity, leading to potential burnout despite productivity gains.
Explores the future of programming languages designed for AI agents, discussing why new languages will emerge and what features they should prioritize.
A critical analysis of the '10x productivity' claims in AI-assisted software development, questioning quality and oversight.