Everything about artificial intelligence - models, agents, tools, and how to build with them.
133 resources - 66 posts, 56 tools, 11 guides

Opus 4.7 is here. Sharper coding, longer agentic runs, better tool use, and a price that finally makes Opus livable for production. Here's everything devs need to know.

Cloudflare Flagship is feature flags built for AI: model swaps, agent gates, and prompt rollouts as first-class primitives. Here is how to use it without rebuilding your control plane.

A hands-on developer guide to Mercury 2 from Inception Labs. OpenAI-compatible API, reasoning levels, tool use, structured outputs, and when a diffusion LLM beats an autoregressive one in real apps.

SAM 3.1 finally hits the latency budget for realtime video. Here is how to wire Meta's new segmentation model into a production pipeline without melting your GPU.

Vercel just declared the agent stack: AI Gateway, Sandbox, Flags, and Microfrontends. Here is how the four primitives compose, with code, and where each one actually fits in a real product.

A repo-root DESIGN.md gives Claude Code, Codex, and other agents the design rules they need to honor so generated UI does not drift into generic territory.

Alibaba's newest Qwen release claims flagship-level coding in a 27B dense model. Here is why dense matters, where it fits against the 480B MoE coder, and what it unlocks for local inference.

From Claude Code to Gladia, the ten CLIs every AI-native developer should know. Install commands, trade-offs, and when to reach for each.

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.

Skills are how you stop copy-pasting the same workflow into Claude Code every session. What they are, how to write one, and where to find hundreds ready to use. Fact-checked against Anthropic's docs.

Claude Code is Anthropic's AI coding agent for your terminal. What it does, how it works, how it compares to Cursor and Codex, and how to ship your first feature with it. Fact-checked against official docs.

MCP isn't just a plugin format - it's a full JSON-RPC protocol for connecting LLMs to tools, resources, and prompts. Here's how it works under the hood, sourced from the official spec.

Two platforms, two philosophies. Here is how Anthropic and OpenAI compare on APIs, SDKs, documentation, pricing, and the actual experience of building with each.

Convex and Supabase both work for AI-powered apps. Here is when to use each, based on building production apps with both.

MCP servers and function calling both let AI tools interact with external systems. They solve different problems. Here is when to reach for each.

The TypeScript patterns that show up in every AI project. Streaming responses, type-safe tool definitions, structured output, retry logic, and more.

Anthropic's computer use feature lets Claude see your screen, move the cursor, click, and type. Here is how it works, when to use it, and how to set it up.
One command, zero config. DD Traces is a local-first OpenTelemetry viewer for developers who use AI coding tools and want to see what happened.

A step-by-step guide to building Model Context Protocol servers in TypeScript. Project setup, tool registration, resources, testing with Claude Code, and production patterns.

Transformers.js lets you run machine learning models in the browser with zero backend. Here is how to use it for text generation, speech recognition, image classification, and semantic search.

How RAG works, why it matters, and how to implement it in TypeScript. The technique that lets AI models use your data without fine-tuning.

Claude Code now has a native Loop feature for scheduling recurring prompts - from one-minute intervals to three-day windows. Fix builds on repeat, summarize Slack channels, email yourself Hacker News digests. All from the CLI.

State-of-the-art computer use, steerable thinking you can redirect mid-response, and a million tokens of context. GPT 5.4 is OpenAI's most capable model yet.

Anthropic dropped a batch of updates across Claude Code and Cowork - remote control from your phone, scheduled tasks, plugin repos, auto memory, and stats showing 4% of GitHub public commits now come from Claude Code.

Inception Labs shipped the first reasoning model built on diffusion instead of autoregressive generation. Over 1,000 tokens per second, competitive benchmarks, and a fundamentally different approach to how AI generates text.

Anthropic brought git worktrees to Claude Code. Spawn multiple agents working on the same repo simultaneously - no merge conflicts, no context pollution, and your main branch stays clean.

Anthropic's Sonnet 4.6 narrows the gap to Opus on agentic tasks, leads computer use benchmarks, and ships with a beta million-token context window. Here's what actually changed.

Million-token context, agent teams that coordinate without an orchestrator, and benchmark scores that push the frontier. Opus 4.6 is Anthropic's biggest model drop yet.

Claude Code's popularity isn't an accident. It's built on bash, grep, and text files - tools with decades of stability. While competitors build on fragile abstractions, Claude Code bets on the Lindy effect.

Anthropic built Cowork in 1.5 weeks - a Claude Code wrapper that brings agentic AI to non-developers. Presentations, documents, project plans. Same power, no terminal required.

CloudFlare, Anthropic, and Cursor independently discovered the same pattern: don't load all tools upfront. Let agents discover what they need. The results are dramatic.

Claude Code skills can now reflect on sessions, extract corrections, and update themselves with confidence levels. Your agent gets smarter every time you use it.

The best Claude Code sessions start with questions, not code. Spec-driven development forces requirements discovery upfront - interview first, spec second, code last.

Claude Code can now control Chrome using your existing authenticated sessions. No API keys needed. Gmail, Sheets, Figma - your agent works across tabs like you do.

Skills turn Claude Code sessions into persistent memory. Successes and failures get captured, progressively disclosed, and shared across teams. Your agent remembers.

Claude Opus 4.5 ran autonomously for 4 hours 49 minutes using stop hooks and the Ralph Loop pattern. Walk away, come back to completed work. Here's how it works.

General methods that leverage computation are ultimately the most effective - and by a large margin.

Every AI-generated site looks the same. The gradients.

Zed is not another Electron-based editor. It's built from the ground up in Rust, which means real performance without the memory bloat that plagues other IDEs.

Anthropic has released Claude Opus 4.5, positioning it as their most capable model yet for coding agents and computer use. The release brings significant price cuts, efficiency gains, and enough au...

Coding changed more in the past two years than in the previous decade. We moved from manual typing to autocomplete, then to multi-file edits.

Antigravity marks the first release from a team that originated at Windsurf. After selling non-exclusive IP rights, the founding members joined Google and built this product on top of that foundation.

GitKraken Desktop bridges this gap. It is a visual Git client that shows you exactly what is happening in your repository, combined with AI that automates tedious tasks so you can stay in flow.

Cursor just dropped their first in-house model. Composer is 4x faster than similar models and completes most coding tasks in under 30 seconds. Here's what actually changed and why it matters.

On October 29th, both Cursor and Windsurf dropped their first in-house models on the same day. Composer vs SWE-1.5. Here's what the benchmarks actually show.

A comprehensive look at Claude Skills-modular, persistent task modules that shatter AI's memory constraints and enable progressive, composable, code-capable workflows for developers and organizations.

NVIDIA's Nemotron Nano 2 VL delivers vision-language capabilities at a fraction of the computational cost. This 12-billion-parameter open-source model processes videos, analyzes documents, and reas...

Two months ago, I built Open Lovable with Claude Sonnet 4. Today, Kimi K2 runs the show.

Emergent Labs represents a shift in how development teams approach application prototyping. Instead of writing boilerplate or configuring infrastructure, you describe what you need in plain languag...

Building a full-stack AI SaaS application no longer requires months of development. The right combination of managed services and AI coding tools can compress what used to be weeks of work into a s...

OpenAI is turning ChatGPT into a hub. The new Apps feature lets you access external services directly inside conversations.

Anthropic's Claude Sonnet 4.5 isn't just another model increment. The company claims they've observed it maintaining focus for more than 30 hours on complex multi-step tasks.

Most AI design tools try to replace your entire stack. Magic Patterns takes a different approach.

Warp 2.0 reimagines what a development environment should look like in the agentic era. Instead of bolting AI onto existing IDE paradigms - files on the left, terminal at the bottom, chat panel on th...

xAI's Grok Code Fast 1 arrives with a specific mission: eliminate the friction in agentic coding workflows. While models like GPT-5, Claude 4, and Gemini 2.5 Pro deliver impressive benchmark scores...

Deep Agent by Abacus AI is not another code completion tool. It is a full-stack development platform that generates complete applications from a single prompt, runs them on actual cloud infrastruct...

Most AI app builders suffer from the same problem: they all look identical. Linear gradients, thick fonts, emojis everywhere.

GPT-5 introduces a fundamentally different approach to inference. Instead of forcing developers to manually configure reasoning parameters, the model operates as a unified system with real-time rou...

Rebuilding or redesigning an existing website typically means starting from scratch. You audit the content, wireframe new layouts, and spend hours translating ideas into code.

OpenAI has released its first open-weight models in over five years. GPT-OSS 12B and GPT-OSS 20B are now available under the Apache 2.0 license, marking a significant shift in strategy for the comp...

AI coding assistants have a control problem. Ask one to 'add authentication' and watch it spiral - generating dozens of files, implementing features you never requested, and restructuring core projec...

Anthropic's Claude Code now supports sub agents - specialized AI workers you can deploy for specific development tasks. Instead of cramming every instruction into a single system prompt, you build a ...

Alibaba's Qwen team has released Qwen 3 Coder, a 480-billion-parameter mixture-of-experts model that sets a new bar for open-source coding assistants. With 35 billion active parameters and support ...

AI-generated interfaces tend to look the same - gradient-heavy, emoji-laden, and generic. The style guide method gives you a reusable design system that keeps every page consistent and on-brand, whet...

After 30 days of daily use, Claude Code has become my primary coding tool. It is not trying to be an IDE or a fancy editor. It is a terminal-based AI agent that writes code, runs commands, tests its ...
Anthropic's agentic coding CLI. Runs in your terminal, edits files autonomously, spawns sub-agents, and maintains memory across sessions. Powered by Claude Opus 4.
AI CodingAI-native code editor forked from VS Code. Composer mode rewrites multiple files at once. Tab autocomplete predicts your next edit. Pro plan is $20/mo.
AI CodingOpenAI's coding agent for terminal, cloud, IDE, GitHub, Slack, and Linear workflows. Reads repos, edits files, runs commands, and returns reviewable diffs.
AI CodingGoogle's open-source coding CLI. Free tier with Gemini 2.5 Pro. Supports tool use, file editing, shell commands. 1M token context window.
AI CodingOpen-source terminal agent runtime with approval modes, rollback snapshots, MCP servers, LSP diagnostics, and a headless HTTP API. Uses DeepSeek models by default.
AI CodingThe original AI coding assistant. 77M+ developers. Inline completions in VS Code and JetBrains. Copilot Workspace generates full projects from issues. $10/mo.
AI CodingAI app builder - describe what you want, get a deployed full-stack app with React, Supabase, and auth. No coding required. Free tier available.
AI CodingCodeium's AI-native IDE. Cascade agent mode handles multi-file edits autonomously. Free tier with generous limits. Strong alternative to Cursor.
AI CodingVercel's generative UI tool. Describe a component, get production-ready React code with shadcn/ui and Tailwind. Iterate by chatting. Free to try.
AI CodingStackBlitz's in-browser AI app builder. Full-stack apps from a prompt - runs Node.js, installs packages, and deploys. No local setup needed.
AI CodingCognition Labs' autonomous software engineer. Handles full tasks end-to-end - reads docs, writes code, runs tests, and submits PRs in an isolated sandbox.
AI CodingOpen-source AI pair programming in your terminal. Works with any LLM - Claude, GPT, Gemini, local models. Git-aware editing with automatic commits.
AI CodingOpen-source AI code assistant for VS Code and JetBrains. Bring your own model - local or API. Tab autocomplete, chat, inline edit. Fully customizable.
AI CodingHigh-performance code editor built in Rust with native AI integration. Sub-millisecond input latency. Built-in assistant supports Claude, GPT, and local models.
AI CodingFull-stack AI dev environment in the browser. Describe an app, get a deployed project with database, auth, and hosting. No local setup needed.
AI CodingAI coding assistant with deep codebase context. Indexes your entire repo graph for accurate answers. VS Code and JetBrains extensions. Free tier available.
AI CodingThe TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
AI FrameworksAnthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
AI FrameworksMost popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
AI FrameworksGives AI agents access to 250+ external tools (GitHub, Slack, Gmail, databases) with managed OAuth. Handles the auth and API complexity so your agent doesn't have to.
AI FrameworksLightweight Python framework for multi-agent systems. Agent handoffs, tool use, guardrails, tracing. Successor to the experimental Swarm project.
AI FrameworksMulti-agent orchestration framework. Define agents with roles, goals, and tools, then assign them tasks in a crew. Python-based. Great for complex workflows.
AI FrameworksTypeScript-first AI agent framework. Workflows, RAG, tool use, evals, and integrations. Built for production Node.js apps. Open-source.
AI FrameworksLLM data framework for connecting custom data sources to language models. Best-in-class RAG, data connectors, and query engines. Python and TypeScript.
AI FrameworksAI voice dictation for macOS. Works in any app - code editors, browsers, notes. Understands context and formats output appropriately. Faster than typing for prose.
ProductivityAnthropic's AI. Opus 4.6 for hard problems, Sonnet 4.6 for speed, Haiku 4.5 for cost. 200K context window. Best coding model I've tested. Max plan ($200/mo).
AI ModelsOpenAI's flagship. GPT-4o for general use, o3 for reasoning, Codex for coding. 300M+ weekly users. Tasks, agents, web browsing, DALL-E, code interpreter.
AI ModelsUnified API for 200+ models. One API key, one billing dashboard. OpenAI, Anthropic, Google, Meta, Mistral, and more. Automatic fallbacks and load balancing.
AI ModelsOpen-source reasoning models from China. DeepSeek-R1 rivals o1 on math and code benchmarks. V3 for general use. Fully open weights. Extremely cost-effective API.
AI ModelsMeta's open-source model family. Llama 4 available in Scout (17B active) and Maverick (17B active, 128 experts). Free to use, modify, and deploy commercially.
AI ModelsEuropean open-weight models. Mistral Large for complex tasks, Mistral Small for speed, Codestral for code. Strong multilingual support. Open and API options.
AI ModelsOpenAI's latest flagship model. Major leap in reasoning, coding, and instruction following over GPT-4o. Powers ChatGPT Plus/Pro and the API. Available via API and ChatGPT.
AI ModelsGoogle's frontier model family. Gemini 2.5 Pro has 1M token context and top-tier coding benchmarks. Gemini 3 Pro pushes reasoning further. Free tier via AI Studio.
AI ModelsxAI's model with real-time X/Twitter data access. Grok 3 rivals top models on reasoning. Built-in web search and current events awareness. Available via API.
AI ModelsAnthropic's smallest Claude 4.5 model. Near-frontier coding performance at one-third the cost of Sonnet 4 and up to 4-5x faster than Sonnet 4.5. $1/$5 per million tokens.
AI ModelsAlibaba's flagship open-weight coding model. 480B total parameters, 35B active (MoE). Native 256K context, scales to 1M. Apache 2.0 license. State-of-the-art agentic coding.
AI ModelsDeepSeek's reasoning-first model built for agents. First model to integrate thinking directly into tool use. Ships alongside V3.2-Speciale, which rivals GPT-5 and Gemini 3.0 Pro.
AI ModelsAI coding platform built for large, complex codebases. Context Engine indexes 500K+ files across repos with 100ms retrieval. Intent desktop app orchestrates parallel agents.
AI CodingOpenAI's open-source terminal coding agent built in Rust. Runs locally, reads your repo, edits files, and executes commands. Powered by o3 and o4-mini models.
AI CodingOpen-source terminal coding agent from Moonshot AI. Powered by Kimi K2.5 (1T params, 32B active). 256K context window. Agent Swarm runs up to 100 parallel sub-agents.
AI CodingFactory AI's terminal coding agent. Runs Anthropic and OpenAI models in one subscription. Handles full tasks end-to-end - refactors, incident response, migrations.
AI CodingOpen-source autonomous coding agent inside VS Code. Creates files, runs commands, and can use a browser for UI testing and debugging with your permission.
AI CodingMulti-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.
AI FrameworksType-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.
AI FrameworksStructured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.
AI FrameworksConstrained generation library for LLMs. Uses finite state machines to mask invalid tokens during generation. Guarantees schema-compliant output with zero retries.
AI FrameworksOpen-source AI orchestration framework by deepset. Modular pipelines for RAG, agents, semantic search, and multimodal apps. Pipeline-as-graph architecture with explicit control.
AI FrameworksFastest inference for open-source models. 200+ models via unified API. Ranks #1 on speed benchmarks for DeepSeek, Qwen, Kimi, and Llama. Serverless pay-per-token pricing.
InfrastructureOpen-source OpenAI API replacement. Runs LLMs, vision, voice, image, and video models on any hardware - no GPU required. 35+ backends. Distributed mode for scaling.
Local AIKeyboard-first Mac launcher with built-in AI. 32+ models, 1,500+ extensions, clipboard history, window management, snippets. Replaced 4 apps in my workflow. Free tier available.
ProductivityAI-powered terminal built in Rust with GPU rendering. Block-based output, natural language commands, Agent Mode for autonomous tasks. 700K+ developers. Free tier available.
ProductivityAI-powered terminal assistant from AWS. Natural language chat, command autocompletion, code generation. Agentic mode reads files, runs commands, and calls AWS APIs. Free tier.
ProductivityAI-powered context manager that remembers your code, snippets, links, and project context across IDEs, browsers, and terminals. Local-first with 9 months of memory. Free.
ProductivityAI meeting notes that augment your own typing. Records the call, captures what you type, and fills in the gaps with context from the transcript.
ProductivityPython's de facto data validation library. Type-hint-driven models, fast Rust-based core (v2), and the foundation of FastAPI, LangChain, and most Python AI tooling.
AI FrameworksUtility-first CSS framework. Compose styles with class names, scan templates with the JIT engine, and ship tiny CSS bundles. v4 rewrote the engine in Rust.
InfrastructureInstall the dd CLI and scaffold your first AI-powered app in under a minute.
GuideWhat MCP servers are, how they work, and how to build your own in 5 minutes.
GuideInstall Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.
GuideInstall Claude Code, configure your first project, and start shipping code with AI in under 5 minutes.
GuideDeep comparison of the top AI agent frameworks - architecture, code examples, strengths, weaknesses, and when to use each one.
GuideAsk quick side questions without derailing the main task.
GuideSkip all permission checks. Container and VM use only.
GuideUse opus, sonnet, haiku, and best to switch models easily.
GuidePrevent bloating the main conversation with research or exploration.
GuideFires on tool execution errors for logging, alerting, and retry.
GuideTeammates claim and complete work independently from one list.
Guide
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