Laurie Voss argues that as coding costs collapse, product engineering—defining what users want and making software pleasant—becomes the core job.
Why AI can't 'just' replace enterprise apps: the hidden non-functional requirements that make them dependable.
Reflection on how AI-powered coding tools challenge traditional CI practices, proposing local testing and trunk-based development as adaptations.
AI reduces software creation cost, but ownership remains expensive due to maintenance, compatibility, and edge cases.
A programmer reflects on how AI changes coding as a hobby, shifting from professional utility to personal joy and self-care.
A reflection on how the high cost of Fable AI model changes coding workflow strategies, quoting Drew Breunig.
A developer reflects on AI coding tools shifting their role from coder to curator, exploring the future of software engineering.
Analysis of Cursor's AI coding usage data, showing power users generate 10x more code and input tokens dominate costs.
Analysis of Cursor's AI coding usage data, revealing power users generate 10x more code and input tokens dominate costs.
Tips to improve AI-generated code quality using repeatable skills and structured prompts.
A curated daily reading list of tech articles covering AI coding tools, engineering management, cloud databases, and security best practices.
Matrix Builder (mb) gives AI coders a contract-based framework to enforce rules, version changes, and prevent chaotic code edits.
Google launches Antigravity 2.0, a redesigned AI IDE that removes traditional IDE features for a conversational interface, causing confusion.
A curated daily reading list for tech professionals covering AI in coding, Kubernetes, TDD, and software development trends.
Agent Skills project enforces senior engineering workflows like specs and tests for AI coding agents, preventing shortcuts to 'done'.
Analysis of why AI-driven cost reductions won't kill SaaS, arguing that building software is easy but maintaining and scaling it is hard.
OpenAI Codex now supports subagents and custom agents for AI-assisted coding, similar to features in Claude Code and other platforms.
OpenAI Codex now supports subagents and custom agents for AI-assisted coding, similar to features in Claude Code and other platforms.
A technical demonstration of using Claude Code AI to autonomously debug and adapt dbt data models by analyzing data anomalies.
Argues that AI coding agents can help developers produce higher quality code and reduce technical debt by automating tedious refactoring tasks.
