"Simon Last, another Notion cofounder, uses #AI coding agents more than anyone I’ve ever met. He coded for nearly two decades—then abruptly stopped. Now, he’s using up to four #AIcodingagents at any given time ... If he’s at a party or sleeping, Last gets what he calls “token anxiety” if he doesn’t have agents working in the background. He doesn’t like to use more than four, though, because he says it causes “context overload” on his human brain."

#agenticai

https://www.wired.com/story/silicon-valley-agentic-individuals-future-of-work/

Are You ‘Agentic’ Enough for the AI Era?

Silicon Valley built AI coding agents that can handle most of the grunt work. Now, the most valuable skill in tech is deciding what they should do.

WIRED

Developers are becoming directors, not typists. As large language models turn into coding agents, the real skill shifts to prompt design and orchestration. Simon Last explains how AI productivity tools like Codex reshape software development and why open‑source collaboration matters more than ever. #AICodingAgents #PromptDesign #SoftwareDev #MachineLearning

🔗 https://aidailypost.com/news/developers-value-shifts-directing-ai-coding-agents-not-writing-code

A Vibe Coding Story: Without writing a single line of code himself, a developer solved a decade-old FreeBSD driver issue using AI vibe coding.

Full details here: https://ostechnix.com/build-freebsd-wifi-driver-ai-vibe-coding-macbook/

#Freebsd #WifiDriver #BCM4350 #VibeCoding #AICodingAgents #PiCodingAgent #Kernelmodule #BSD #Unix

How AI Built a Native FreeBSD WiFi Driver: A Vibe Coding Story - OSTechNix

Learn how a developer used AI agents to build a native FreeBSD WiFi driver for the MacBook BCM4350 chip. Explore the "vibe coding" workflow.

OSTechNix

In covering the story of an AI agent apparently writing a hit piece blog post about someone who declined its GitHub merge request, Ars Technica posted a story that included fabricated quotes created by AI.

It's slop all the way down.

https://arstechnica.com/staff/2026/02/editors-note-retraction-of-article-containing-fabricated-quotations/

#ArsTechnica #TechPress #TechReporting #TechMedia #AIslop #MJRathbun #AIagents #Journalism #AIcodingAgents #VibeCoding #VibeJournalism

Editor’s Note: Retraction of article containing fabricated quotations

We are reinforcing our editorial standards following this incident.

Ars Technica

🚀 The team just embedded a compressed docs index directly into AGENTS.md, giving AI coding agents instant project context. No more hunting for markdown files—Vercel‑friendly, lightweight, and ready for your ML pipelines. Dive into the workflow and see how this boosts open‑source contributions! #AGENTSmd #AICodingAgents #DocumentationIndex #AIWorkflow

🔗 https://aidailypost.com/news/team-embeds-compressed-docs-index-agentsmd-guide-ai-coding-agents

The #environmentalimpact of #AIcodingagents like #ClaudeCode is significantly higher than typical LLM queries. A single Claude Code session involves numerous tool calls and long prompts, leading to substantially more energy consumption. The author estimates the energy cost of a Claude Code session by analysing token usage and applying pricing data from Anthropic’s API. https://www.simonpcouch.com/blog/2026-01-20-cc-impact/?eicker.news #tech #media #news
Electricity use of AI coding agents | Simon P. Couch – Simon P. Couch

This #guide provides a #framework for writing effective #specifications for #AIcodingagents. It emphasises starting with a high-level vision and letting the AI draft the details, structuring the spec like a professional PRD, and integrating the spec into the development toolchain. The guide also highlights the importance of planning, breaking tasks into smaller chunks, and continuously iterating on the spec and implementation. https://addyo.substack.com/p/how-to-write-a-good-spec-for-ai-agents?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI
How to write a good spec for AI agents

How to structure, plan, and iterate for high-performance coding agents

Elevate
IBM Bob for Enterprise Java: Planning, Modernization, AI-Assisted Understanding

IBM Bob is an AI SDLC partner for real Java systems. System-level analysis, planning before coding, Java modernization, and controlled changes.

The Main Thread

Michelle Bakels (@MichelleBakels)

AI 코딩 에이전트 구축 관련 강연 요약과 코드 평가 현황을 다루는 내용입니다. 'Hard Won Lessons from Building Effective AI Coding Agents'(Nik Pash, Cline) 영상과 'State of Code Evals'에서 SWE-bench, Code Clash 및 최신 코딩 벤치마크(SOTA)들을 정리한 John Yang의 요약이 포함된 링크를 공유하고 있습니다.

https://x.com/MichelleBakels/status/2008934971495297359

#aicodingagents #codeevals #benchmarks #swebench

Michelle Bakels (@MichelleBakels) on X

@aiDotEngineer @latentspacepod Day 22 Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline https://t.co/fTxO0tif81 [State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang https://t.co/g73yiYpxUg

X (formerly Twitter)