Flow State, Metered
A reflective essay on how AI-assisted coding shifts programming from hands-on flow to orchestration, with attention and token costs as new constraints.
A reflective essay on how AI-assisted coding shifts programming from hands-on flow to orchestration, with attention and token costs as new constraints.
A developer shares their AI-assisted coding setup using Linux VMs, Tailscale, and agentic tools for seamless remote development.
A developer shares a custom skill to sync agentic coding session artifacts with teammates via Git commits.
A developer shares experiences running small local AI models for agentic coding, evaluating hardware, speed, tool calling, and code quality.
Explores the viability of running local AI models for coding, covering hardware, performance, and quality factors.
Career advice for engineers in the AI era, focusing on scarce resources like reputation and problem selection over solution skills.
A developer explores automating coding tasks using AI agents to reduce personal involvement in routine work.
A developer's reflections on using AI agents for coding, testing, and bug fixing, including a fabricated bug reproduction story.
A tech professional critiques anti-AI bias in coding, defending AI tools like LLMs while acknowledging their flaws and advocating for balanced adoption.
Tutorial on setting up a local coding agent using open-weight LLMs and open-source tools as an alternative to Claude Code and Codex.
A tech professional argues AI boosts productivity but won't reduce work hours, advocating for taking time off proactively.
Analysis of Cohere's new North Mini Code model for agentic coding tasks, including architecture and benchmark performance.
Cohere's North Mini Code is a 30B-parameter open-weight model for agentic coding, featuring Mixture-of-Experts architecture and strong benchmark performance.
Analysis of AI productivity claims, questioning the lack of holistic data and the hidden costs of AI adoption in business.
Analysis questioning the lack of holistic productivity data on AI adoption, highlighting hidden costs and need for skilled oversight.
A recap of Microsoft Build 2026, featuring keynote demos, vibe coding, agentic coding, and live-coding sessions.
A workshop guide for AI Tinkerers Raleigh participants on installing Kiro IDE and cloning a repo for an agentic coding workshop.
Recap of AI Tinkerers Raleigh event on agentic coding at Amazon and hands-on workshop with Kiro for spec-driven development.
A software developer's reflection on how LLM-based coding tools can worsen multitasking and context-switching, advocating for focused, single-tasking work methods.
Running GitHub Copilot CLI offline with GPU-accelerated local models, comparing performance with CPU-only setup in a real .NET project.