Agentic Coding
9 posts tagged #agentic-coding
9 posts on Agentic Coding, spread across AI Agent Architecture & Frameworks (4), AI Coding Tools & Workflow (4), Production AI Engineering (1) — most read: “How to Run Local Agentic AI on Your Mac With MLX” and “5 Concepts for Coding With AI Agents (IBM's Framework)”.
Developer Tools 5 Concepts for Coding With AI Agents (IBM's Framework)
IBM named a 5-concept framework for coding with AI agents. I stress-tested each one against production failure modes — context rot, flaky tool calls, and missing evals — with code.
Developer Tools OpenCode vs Claude Code Token Overhead: The 4.7x Gap
Claude Code sends 33,000 tokens before reading your prompt. OpenCode sends 7,000. Here's the cache economics, the multiplier stack, and the break-even math for teams.
AI and Machine Learning Kimi K2 vs Claude Sonnet 4.6 for Agentic Coding
I'd pick Kimi K2 when budget is the hard constraint and you can self-host, and Claude Sonnet 4.6 when reliability and tool-use fidelity are non-negotiable on a real production codebase. Here's exactly where that fault line sits.
AI and Machine Learning How to Run Local Agentic AI on Your Mac With MLX
Apple's WWDC 2026 MLX session was 13 minutes and skipped the hard parts. Here's the full setup: model selection, MTP speculative decoding, multimodal support, and wiring it all to a coding agent.
AI and Machine Learning Local Agentic Coding Workflow: 5 Failures Tutorials Skip
Local agentic coding is genuinely viable for daily work — but the YouTube tutorials showing you how skip the failure modes that matter most in production. Here's the full picture.
Developer Tools AI Coding Workflow 2026: What a YC Founder's Stack Taught Me About the Hard Parts
AI didn't make coding easier — it eliminated the easy parts. Here's how I rebuilt my entire dev workflow around Claude Code, Cursor, and the brutal reality that architecture is now the whole job.
Developer Tools Windsurf vs Claude Code: Which AI Coding Tool to Use?
Windsurf wins for developers who want an IDE-first, GUI-driven AI workflow; Claude Code wins for power users who need deep terminal-native autonomy and raw model capability. Neither is universally better — your workflow decides.
Developer Tools Cursor vs Claude Code 2026: IDE vs CLI
Cursor wins for teams who want a polished GUI-first workflow with deep IDE integration; Claude Code wins for developers who need agentic, terminal-native autonomy on large or complex codebases. Your choice hinges on how you work, not how powerful the model is.
Developer Tools GitHub Copilot vs Cursor 2026: Pricing, Context and Agents
Cursor wins for AI-native, context-aware coding workflows; GitHub Copilot wins for teams already embedded in the GitHub ecosystem. Your choice comes down to how much you want your editor rebuilt around AI vs. enhanced with it.
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