Career advice for engineers in the AI era, focusing on scarce resources like reputation and problem selection over solution skills.
Explores why top engineers prioritize discipline over speed in AI-driven software development, emphasizing careful code over rapid generation.
A developer reflects on 12 months of using Claude Code, exploring how it transforms programming productivity and challenges traditional skill-building.
Explores agentic autonomy levels in AI engineering, proposing a two-axis framework of agency and orchestration for multi-agent systems.
Analysis of merge queue limitations under AI agent workloads, challenging Hashimoto's critique with a defense of serialization as coordination.
Monthly roundup of 113 tech links covering AI impact, software engineering, and development tools for June 2026.
Exploration of coding agent loops beyond simple prompts, discussing harness-level loops and challenges with AI-generated code quality.
A programmer reflects on prioritizing family over coding, sharing hard-earned life lessons from a decade of misplaced focus.
Charity Majors argues that AI-generated code requires more engineering discipline, not less, drawing parallels to the shift from server pets to immutable infrastructure.
Explores how AI coding agents shift engineering focus from writing code to code review, making review the most leveraged skill in software.
A practical roadmap for learning agentic engineering, focusing on building core skills before using advanced AI tools.
A tech veteran shares data-driven insights on surviving frequent reorgs, treating them as predictable constants rather than disruptions.
Explores the common misunderstanding of the DRY principle in programming, emphasizing knowledge over code duplication.
A software engineer reflects on the changing meaning of 'help' in tech, where coding is replaced by documentation and AI agents.
Explores the tension between AI enthusiasts racing to adopt AI and skeptics warning about reliability and knowledge loss.
Analysis of the tension between AI enthusiasts and skeptics in software teams, highlighting the race for innovation versus maintaining reliability.
Uber caps employee AI coding tool spending at $1,500/month per tool to manage costs after overshooting its 2026 AI budget.
Explores the growing divide between AI enthusiasts and skeptics in tech, highlighting the risks of uncritical adoption and communication breakdowns.
Analysis of the growing divide between AI enthusiasts and skeptics in tech, exploring their conflicting views on AI's impact on software development.
Daily tech reading list covering AI efficiency, burnout, Go modules, engineering culture, and solo founding trends.
