A live coding session demonstrating the rapid development of 'Arena', a feature for analyzing user compatibility via Twitter/X data, using AI-assisted tools.
How AI-assisted reverse engineering helps companies understand and modernize critical legacy systems that have become 'black boxes'.
A CEO describes using AI (Claude 4 via Copilot) to code and ship a new autoqueue feature for Mergify in under an hour a day over three weeks.
A curated list of articles exploring AI-assisted development, covering real-world integration, career impacts, failed experiments, and technical deep-dives.
Explores the evolution from AI-augmented IDEs to Agentic Development Environments (ADEs) and the future of autonomous AI in software engineering.
A developer shares their experience using Claude Code in agent mode for an open-source project, highlighting productivity gains and collaboration insights.
A developer's six-week retrospective on using Claude Code for software engineering tasks, highlighting transformative productivity gains and new workflows.
A Thoughtworks engineer argues that developers must still care about code quality and testing, even with advanced AI coding assistants.
A developer shares an 18-month follow-up on using AI coding assistants like Cursor, Gemini, and Claude for a complex project refactoring.
A curated list of essential resources for engineers to master AI-assisted development and transition to agentic engineering workflows.
A developer shares a method for using AI personas like Product Manager and Architect to improve AI-assisted programming workflows for non-trivial changes.
A developer shares their experience using AI to migrate over 700 XCTest cases to Apple's new Swift Testing framework, detailing the process and key learnings.
A developer experiments with 'vibe coding' using AI to build a GitHub Action without looking at the generated code, exploring AI's role in software development.
Explores how AI tools like LLMs are transforming software engineering roles, workflows, and required skills in 2025, moving beyond code generation to strategic design.
Explores how AI tools like GitHub Copilot are transforming software development by automating tasks, improving debugging, and enhancing code quality.
Explains how to use Pulumi's Model Context Protocol (MCP) Server to integrate AI assistants like Cursor for faster, more intuitive Infrastructure as Code development.
Explores the rise of 'vibecoding'—AI-assisted no-code/low-code development—and its surprising viability for both technical and non-technical users.
Explores why AI-assisted development has hit a productivity ceiling, arguing that software's human-centric nature limits AI's current impact.
A hands-on review of GitHub Copilot Workspace, a new AI-powered web environment for software design and development, based on initial testing.
