The Code Review Bottleneck Is You
How AI accelerates code output, creating a review bottleneck, and strategies to rebalance the development pipeline.
How AI accelerates code output, creating a review bottleneck, and strategies to rebalance the development pipeline.
Exploring 'mouth coding'—using AI and live conversation to collaboratively build websites in real time.
How AI helped overcome procrastination by building personal tools quickly, turning ideas into working prototypes in minutes.
Explores how AI reduces the cost of building personal software tools, enabling 'infrastructure for one' over generic products.
Explores harness engineering as a control layer for specs-driven AI development, shifting from human-in-the-loop to automated validation.
Analyzes design choices for effective GitHub Copilot Agent skills, focusing on task shape, descriptions, boundaries, and testing.
Explores the hacker ethic from Steven Levy's book and how 'vibe coding' with AI may undermine developer responsibility.
A structured feedback practice for AI-assisted development, turning individual AI interactions into team-wide improvements through shared artifacts.
Proposes treating AI coding assistant instructions as versioned, shared infrastructure to encode team standards and ensure consistent code quality.
A software engineer reflects on leaving a traditional employer for an AI-driven role, now orchestrating AI tools instead of writing code directly.
Explores the 'One More Prompt' risk in agentic coding, where developers over-scope features by continuously prompting AI agents, leading to massive pull requests.
PyTheory is a Python music theory library built with a 'for humans' philosophy, overcoming a five-year creative block through human-AI collaboration.
Proposes using external documents to preserve AI coding assistant context, preventing decision loss and improving long-term collaboration.
An analysis of AI's impact on software development, based on interviews with 70+ developers, discussing automation, testing, and the future of coding.
Explores the transformative impact of AI on software development, featuring insights from industry experts on the future of coding.
A software engineer details how AI tools like Claude have dramatically reshaped their daily coding workflow and the evolving role of a 'product engineer'.
Proposes a 'whiteboard before keyboard' design-first approach for AI coding assistants to prevent hidden design decisions and improve collaboration.
A developer reflects on how AI coding tools have shifted their role from writing code to steering and architecting systems, viewing it as a natural evolution.
A developer explores using AI to create personalized, project-based tutorials for learning new technologies like FastMCP, Strands, and AgentCore.
An architect details building Proximity, an open-source tool for visualizing walking-distance isochrones from public transport stops, as a sandbox for cloud architecture.