Category: tech > ai

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.

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.

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

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.

Claude turns complex topics into interactive diagrams when prompted with 'make me understand this interactively.' Works on the free plan.

Claude converts voice-dictated brainstorming notes into interactive visual diagrams inside the chat. Works with any dictation tool on the free plan.

NanoClaw replaces OpenClaw's 500k lines of code with a handful of files and hypervisor-level container isolation per AI agent.

A concise ruleset for AI agent workflow orchestration covering plan mode, subtask strategy, self-improvement loops, and verification discipline.

The Playwright CLI is roughly 500% more token-efficient than the Playwright MCP for browser automation in Claude Code, with the same capabilities.

Pydantic AI brings type-safe, validated structured outputs to LLM agent development in Python with automatic validation retries and tool calling.

A promotional TikTok claims CLI tools will replace MCP servers for Claude Code, but provides no evidence. The actual repo may have more substance.

Google's Nano Banana Pro 2 integrates web search into image generation, producing grounded outputs with accurate text from live data.

AI task-completion length doubles every 7 months, models resist shutdown, and leading researchers rank AI risk alongside pandemics and nuclear war.

Hannah Fry argues AI is closer to a capable spreadsheet than a creature, and our urge to anthropomorphize it is the root of most AI harms.

VS Code Agent Kanban stores every AI coding task as a markdown file with YAML frontmatter, solving context loss between sessions.

RAG stays essential for enterprise-scale data and cost efficiency. Long context wins on simplicity. The right choice depends on dataset size.