Category: tech > ai

Claude's /insights command analyzes your recent conversations and generates a report on usage patterns with suggestions for improvement.

The Stop Slop skill strips robotic AI writing patterns from LLM text, removing filler phrases and unnatural rhythms. 1,800+ GitHub stars in days.

Spec-driven development tools create excessive review overhead and a false sense of control, echoing model-driven development's historical failures.

Enabling LSP in Claude Code gives 100x faster code search than grep, returning exact definitions in 50ms while burning far fewer tokens.

Claude Dispatch lets you control Claude Co-Work from your phone, sending tasks remotely while Claude works with your local files and apps.

Cook adds review loops, parallel racing, and task-list progression on top of AI coding agents like Claude Code, Codex, and OpenCode.

Stripe's Machine Payments Protocol lets AI agents pay via HTTP 402 responses, supporting both fiat and stablecoins. Submitted to IETF as a standard.

81,000 Claude users across 159 countries reveal the dominant desire is not speed but freedom to reclaim time for family and personal growth.

LinkedIn's editor shipped iOS apps to the App Store with zero coding experience, using a dual-agent Claude Code workflow for building and review.

Simon Willison breaks down how coding agents work: an LLM in a loop with tools, token caching, and reasoning modes. Simpler than you think.

Most Claude Code Skills fail at triggering, not execution. Writing a specific description with explicit trigger keywords matters most.

OpenViking organizes AI agent context as a virtual filesystem with tiered loading, cutting tokens 11x while raising task completion by 15 points.

Simon Willison defines agentic engineering as building software with coding agents in a loop, distinct from unreviewed vibe coding.

Claude Opus 4.6 and Sonnet 4.6 now offer 1M token context at standard pricing, with no long-context premium and improved retrieval accuracy.

CanIRun.ai estimates which AI models your hardware can run locally. The real sweet spot for local models is structured data tasks, not coding.

Anthropic offers 13 free learning resources for Claude, including Agent Skills, Claude 101, and AI Fluency courses for beginners.

Context Mode achieves 94-100% context reduction per tool call, extending typical Claude Code sessions from 30 minutes to about 3 hours.

CoPaw is a self-hostable AI assistant from Alibaba that connects to messaging platforms and supports local LLMs via Ollama with no API key needed.

Anthropic launched a free Claude certification course on Skilljar covering Claude and Claude Code in depth. It will move to $99 soon.

A multi-agent LLM workflow uses Opus for architecture, Sonnet for coding, and Codex/Gemini for review. Different models catch different failures.