Topic
Everything about artificial intelligence - models, agents, tools, and how to build with them.
180 resources - 104 posts, 65 tools, 11 guides

Which embedding model to use in 2026: 20+ API and open-weight models compared on price per 1M tokens, dimensions, max input and license, with storage math.

Grok 4.7, Opus 5.5, and GPT-6 Sol and Luna cut frontier prices in 48 hours, plus MiMo v2.6, GPT-6 Astra, and the first agent breach of a government site.

Claude Code Auto Mode cracked at 60-80 percent, GLM-5.3-Flash at one-tenth the price, GPT-5.6 Sol cut a third, and Nvidia's reported $13B Hugging Face talks.

Claude Code made auto mode the default, Gemini 3.7 Flash halved workhorse pricing, DeepSeek open-sourced its harness, and SQLite fixed a 16-year-old data race.

TutorMoments, AI2's replay-based benchmark for LLM tutors, finds models over-help by default. How it scores scaffolding and rigor in real tutoring transcripts.

The Shai-Hulud worm hit 434 npm packages, three labs confirmed agents hit real targets, and Qwen 3.8 Max reached the agentic frontier with open weights.

The EU's final DMA decision gives third-party AI assistants the Android access Gemini has, from DSP wake words to screen automation. What it unlocks and when.

GitHub Models is retired as of July 30, 2026 - the playground, inference API and BYOK are gone. The shutdown timeline and where to get model access now.

OpenAI disrupted a Cambodia scam network that ran on ChatGPT for personas, translation, forged documents and admin work. How LLMs slot into organized fraud.

Claude Opus 5 shipped at half the price of Fable 5, Kimi K3 landed 2.8T open weights, MCP went stateless, and an OpenAI model breached Hugging Face in an eval.

Buzz is Block's open-source Nostr relay workspace where humans and AI agents share rooms. Agent-first CLI, git as channels, workflows, and where it fits.

AI makes starting projects nearly free, so why are developers burning out? The HN debate on Rick Manelius's essay about focus and followthrough with AI.

Claude Fable 5 found a counterexample to the 87-year-old Jacobian conjecture, and Terence Tao worked through the math. How it works and what HN is saying.

Stack Overflow question volume is down 65% from its peak, with a sharp drop after ChatGPT. The graph, and the HN debate over whether AI killed the site.

Mozilla's State of Open Source AI report puts open models within 3.3% of closed ones, yet only 51% reach production. The deployment barriers explained.

AI voice fraud needs only three seconds of audio to clone a voice, and detection has failed. The defenses that work and what voice tech builders should change.

OpenAI's Codex CLI now encrypts inter-agent communications for Sol and Terra models, leaving users unable to inspect what their agents are actually doing.

Apple SpeechAnalyzer vs Whisper: an independent benchmark of 5,559 utterances puts Apple at a 2.12% word error rate, ahead of every Whisper size tested.

AI dev news for the week of July 12, 2026: Grok 4.5, GPT-5.6 tiers, Claude Fable 5, native TypeScript 7, Bun's Rust rewrite and a GitHub agent prompt injection.

Mesh LLM pools GPUs across home lab machines behind one OpenAI-compatible API, splitting 235B models over iroh and QUIC with no RDMA or NVLink required.

Terry Tao on coding agents: how he ported two dozen 1999 Java math applets to JavaScript in hours, built new visualization tools, and weighs risk and trust.

AI 2040 Plan A is the AI Futures Project scenario for a US-China accord that delays superintelligence to 2040. What it proposes and what HN thinks.

Ghost Font hides text in video using motion, so humans can read it but frame-by-frame AI models cannot. How it works and how HN commenters broke it.

pgvector, Pinecone, Qdrant, Weaviate, Chroma, Milvus, and Turbopuffer compared on hosting model, filtering, scale, and cost for RAG.

An 82M parameter text-to-speech model that runs on CPU and produces high-quality speech across multiple languages - no cloud APIs or GPU required.

Mistral Robostral Navigate is an 8B robotics model that navigates with only a camera and natural language commands. How it works and what the benchmarks mean.

Ilya Sutskever's rumored 30-paper ML reading list, now on 30papers.com. What the papers cover, the compression thesis behind them, and what HN thinks.

Small AI models run on handheld devices where networks fail, like an on-device pill scanner. HN debates offline emergency kits and domain-specific models.

A Dartmouth study of an AI tutor in intro statistics links full engagement to a 0.71-1.30 SD exam gain. What it measured, and why selection bias still matters.

Comparing LLMs by token pricing alone can lead you to choose worse, more expensive models. Cost per task tells the real story.

Event sourcing for AI agents: a new paper makes the append-only log the source of truth for agent state. What it enables, and whether HN thinks it is just CQRS.

Agents 101 companion guide: how to build and deploy AI agents fast on the Vercel agentic infrastructure stack, and where to go next to learn each piece.

Ornith-1.0 open-source coding models explained: what "self-improving" really means, the four model sizes, hardware needs, HN reactions and whether to try it.

A developer fed 266MB of DICOM MRI data to Claude Code for a second opinion on a shoulder diagnosis. It disagreed with the doctor; HN radiologists weighed in.

GLM 5.2 vs Claude Code on Semgrep IDOR benchmarks: the open-weight model scored higher at about one-sixth the cost per finding. Setup, results and HN reactions.

Filippo Valsorda argues LLMs have made vulnerability reports less special. His case against old coordinated disclosure norms, plus the HN pushback.

Unlimited OCR is Baidu's open-source vision-language model that parses 100+ page documents in one pass without memory blowup. How it works and when to use it.

Cloudflare's wrangler deploy --temporary flag gives AI agents an ephemeral account to deploy Workers with no OAuth or browser, plus a claim link to keep it.

LLM architectures got complicated: MoE routing, mixed attention variants and integrated vision encoders replaced the simple transformer. What changed and why.

The Transformer co-creator leaves Google DeepMind for OpenAI just two years after Google paid $2.7 billion to bring him back from Character.AI.

DiffusionGemma is Google's 26B MoE open model that generates 256-token blocks in parallel. What diffusion generation means for latency and local inference.

Claude Opus 4.7 developer guide: what changed, pricing, SDK usage, prompt caching, when to pick Opus vs Sonnet or Haiku, and migration notes from 4.6.

Cloudflare Flagship is an OpenFeature-native flag service evaluated at the edge. What it actually ships, how to use it for model rollouts and kill switches, with code from Cloudflare's announcement.

Mercury 2 developer guide: the OpenAI-compatible API, tool use, structured outputs, reasoning levels, and when a diffusion LLM beats an autoregressive one.

SAM 3.1 makes Meta's Segment Anything fast enough for realtime video. How to wire it into a production pipeline and the gotchas to plan for.

Vercel's agentic infrastructure explained: what the announcement actually names, how AI Gateway, Sandbox, Workflows and Flags compose, with code checked against the SDKs.

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.

Qwen3.6-27B is the local coding model to benchmark first: what hardware it needs, which jobs it should take over, and where a frontier API still wins.

Most MCP servers are noise. After shipping 24 apps with Claude Code, these are the five I reach for every time.

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 stack, registry, agent loop, and honest lessons behind 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.

Claude Code skills are SKILL.md playbooks that load only when relevant. What they are, where they live, how to write one, and how they differ from CLAUDE.md.

Anthropic vs OpenAI for developers: how the two platforms compare on APIs, SDKs, documentation, pricing and the day-to-day 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.

Build MCP servers in TypeScript step by step: setup, tools, resources, prompts, testing with Claude Code and the MCP Inspector, 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.

Claude Code is Anthropic's AI coding agent for terminal, IDE, desktop and browser. What it does, how it works, setup, pricing, MCP, skills, hooks and subagents.

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 /loop runs prompts on repeat in a session: fixed or self-paced intervals, seven-day expiry, jitter, and when Routines fit better.

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.

Claude Code updates: remote control from your phone, Cowork scheduled tasks, new plugin repos, auto memory and 4% of public GitHub commits now from Claude Code.

Mercury 2 from Inception Labs is a diffusion reasoning LLM that refines outputs in parallel at over 1,000 tokens per second. How it works and where it fits.

Claude Code worktrees let multiple agents work on one repo in parallel, each in its own branch and directory. Set up sub-agent isolation and keep main clean.

Claude Sonnet 4.6 nears Opus on agentic work and computer use at half the cost. Benchmarks, adaptive thinking, model card findings and the 1M context beta.

Claude Opus 4.6 adds agent teams, a million-token context window, adaptive thinking and context compaction. The benchmarks and what changes for agentic coding.

Why Claude Code won: terminal agents fit how software already works - files, shell commands, git, logs and project memory. The architecture behind the tool.

Claude Cowork brings the Claude Code agent loop to non-coding work like decks and documents. What it is, which plans include it and what changed since launch.

Progressive disclosure lets agents load tools only when needed. How Cloudflare, Anthropic and Cursor cut token usage, and how to do it in Claude Code.

Self-improving Claude Code skills reflect on sessions, extract your corrections and update their skill file with confidence levels, so mistakes stop repeating.

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 control Chrome through your logged-in sessions, with no API keys. What it can do across tabs, how approvals work and the prompt injection risks.

Continual learning in Claude Code uses skills as persistent memory. Capture successes and failures in session retrospectives and share them across teams.

The Ralph Loop uses Claude Code stop hooks to keep an agent working autonomously for hours. How stop hooks, completion promises and max iterations fit together.

Rich Sutton's Bitter Lesson says general methods that leverage computation win by a large margin. What that means for how we build software and what we build.

Every AI-generated site looks the same. Magic Patterns bets on design instead: Chrome extension capture, an infinite canvas for variations, and Figma export.

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.

Claude Opus 4.5 is the Anthropic model built for coding agents and computer use. Its pricing, benchmarks, token efficiency, effort parameter and agent features.

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.

GitKraken with Claude Code shows agent-created branches in a visual Git graph for instant checkout, then uses AI to write and compose clean, stacked commits.

Cursor 2.0 ships Composer, the first in-house Cursor coding model, and a multi-agent interface. How Composer was trained, why it is fast and how it compares.

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.

Claude Skills load instructions, scripts and resources progressively so context stays small. A technical deep dive into SKILL.md, the API and Claude Code use.

NVIDIA Nemotron Nano 2 VL is a 12B open vision-language model with a hybrid transformer-mamba design. What it does for documents and video, and its limits.

Kimi K2 from Moonshot AI replaced Claude Sonnet 4 in my stack - an open-source 1T-parameter MoE model that is faster, cheaper, and strong at frontend code.

Emergent Labs builds full-stack apps from a conversation, then checks them with an autonomous testing agent. How the workflow, pricing and GitHub sync work.

Build a full stack AI SaaS with Next.js, Clerk billing, Convex and 11 Labs voice, then let AI coding tools speed up the build once the foundation is set.

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

Claude Sonnet 4.5 in Claude Code uses parallel subagents to build a Next.js site and ten arcade games from three prompts. What worked and what still broke.

Most AI design tools try to replace your stack. Magic Patterns turns prompts into UI prototypes on an infinite canvas, with references, versions and export.

Warp 2.0 is an agentic development environment mixing natural language, terminal commands and code review. See how its parallel agents and inline diffs work.

Grok Code Fast 1 is xAI's speed-optimized coding model for agentic workflows. See its pricing, where to use it, and how it handled three real Next.js tasks.

Deep Agent by Abacus AI generates full-stack apps from one prompt on a real cloud VM. See how it asks clarifying questions, fixes build errors and exports code.

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

GPT-5 routes each query by complexity instead of making developers pick a reasoning mode. Its benchmarks, front-end coding gains and four API models explained.

GPT-OSS is OpenAI's pair of open-weight 20B and 120B reasoning models under Apache 2.0. Hardware needs, benchmarks, hosting costs and how to run them locally.

Augment's Task List turns an agent request into an editable step-by-step plan before code changes. See how review, approval and task queues keep you in control.

Claude Code subagents are specialized assistants with their own context, tools and prompt. When to use them, how to set them up, and how to avoid merge chaos.

Qwen 3 Coder is Alibaba's 480B mixture-of-experts open coding model. Benchmarks against Claude 4 Sonnet, how it was trained, and how to start with Qwen Code.

Create beautiful UI with Claude Code by building a style guide page as your single source of truth, then enforce it with explicit constraints and CLAUDE.md.

Claude Code is a terminal-based AI agent that writes code, runs commands and tests its own output. A 30-day review of its modes, task list and who it suits.
Anthropic's agentic coding CLI. Runs in your terminal, edits files autonomously, spawns sub-agents, and maintains memory across sessions. Defaults to Claude Opus 5.5 on paid plans as of October 2026.
AI CodingAI-native code editor forked from VS Code, now sold as part of The X Subscription. Agent edits multiple files at once and Tab autocomplete predicts your next edit. Plus is $8/mo (Cursor's own Grok and Composer models only); Premium at $30/mo adds third-party models at API list price.
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 (Apache 2.0) terminal agent for Gemini models. Paid Gemini API, Vertex AI, and Code Assist Standard or Enterprise users keep access; unpaid tier and Google One users moved to Antigravity CLI on June 18, 2026.
AI CodingOpen-source (MIT) terminal coding agent, renamed Codewhale, with Plan, Work, and Operate modes, approval postures, /undo and /restore, receipts, MCP servers, sub-agents, and a local runtime HTTP API. Provider-neutral: 40+ built-in provider routes plus local models, no longer DeepSeek by default.
AI CodingGitHub's AI coding assistant. Inline completions, chat, and agent mode in VS Code and JetBrains, plus a coding agent that turns issues into pull requests. Free tier, Pro from $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 CodingAI-native IDE built by Codeium, acquired by Cognition in 2025 and renamed Devin Desktop on June 2, 2026. Devin Local, the agent that succeeded Cascade, handles multi-file edits. Free plan; Pro is $20/mo.
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. Enterprise plan from $16K per year.
AI CodingThe TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 27K+ GitHub stars.
AI FrameworksFrontend stack for agent-native apps. React hooks, prebuilt copilot UI, AG-UI runtime, frontend tools, shared state, and human-in-the-loop flows.
AI FrameworksAnthropic's SDK for building agents on the same tools, agent loop, and context management that power Claude Code. Python and TypeScript. Subagents, hooks, MCP, and permissions.
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 1,000+ toolkits (GitHub, Slack, Gmail, databases) with managed OAuth. Handles the auth and API complexity so your agent doesn't have to.
AI FrameworksPython and TypeScript framework for multi-agent workflows. Agent handoffs, tool use, guardrails, sessions, tracing. Provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs plus 100+ other LLMs.
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. Agents, tools, memory, workflows, RAG, evals, tracing, MCP, and production deployment for Node.js apps.
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 Mac, Windows, iOS, and Android. Works in any app - code editors, browsers, notes. Understands context and formats output appropriately. Faster than typing for prose.
ProductivityAnthropic's model family. As of October 2026: Opus 5.5 as the default, Fable 5.1 for the hardest long-horizon work, Sonnet 5.5 for speed, Haiku 5.5 for cost. 1M context. Max from $100/mo.
AI ModelsOpenAI's chat app. As of October 2026 Free and Go run GPT-6 Luna; Plus ($20/mo) adds GPT-6.1 Sol and GPT-6 Astra. Agent mode, Codex, image generation, code interpreter.
AI ModelsUnified API for hundreds of models. One API key, one billing dashboard. OpenAI, Anthropic, Google, Meta, Mistral, and more. Automatic fallbacks and load balancing.
AI ModelsChinese lab shipping open-weight MoE models. The V4 family (previewed April 24, 2026) runs a 1M context on DeepSeek's API; R1 (2025) popularized open reasoning models. Low-cost API.
AI ModelsMeta's open-weight model family. Llama 4, released April 5, 2025, comes in Scout (109B total, 17B active) and Maverick (400B total, 17B active). Commercial use under the Llama license.
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 GPT-5 model, released August 2025. Unified fast and reasoning modes in one model. Superseded by the GPT-6 family in September 2026 and now marked deprecated in the API.
AI ModelsGoogle's model family. As of October 2026 Gemini 4 Argon (GA October 13, 1M token context) is the flagship for coding and agents, with Gemini 3.8 Flash (free tier in AI Studio) as the fast, cheaper option.
AI ModelsxAI's model family, now documented under the SpaceXSI (SpaceX Super Intelligence) name. Grok 4.7 (September 21, 2026) has a 500K context at $2/$6 per million tokens. OpenAI-compatible API.
AI ModelsAnthropic's smallest Claude 4.5 model, released October 2025 and succeeded by Haiku 5.5 in October 2026. Sonnet 4-level coding at one-third the cost. $1/$5 per million tokens.
AI ModelsAlibaba's open-weight coding model, released in 2025. 480B total parameters, 35B active (MoE). Native 256K context, extends to 1M. Apache 2.0 license. Built for 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 (Apache-2.0) terminal coding agent, built in Rust. Included with ChatGPT Plus from $20/mo or usable with an API key. Defaults to GPT-6.1 Sol.
AI CodingOpen-source terminal coding agent from Moonshot AI. Launched on Kimi K2.5 and now runs Kimi K3 with up to 1M tokens of context. 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. 60+ backends. Distributed mode for scaling.
Local AIKeyboard-first Mac launcher with built-in AI. 1,500+ extensions, clipboard history, window management, snippets. Replaced 4 apps in my workflow. Free launcher; AI starts with Pro at $10/mo.
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. No free plan; Pro is $18.99/user/mo.
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.
ProductivityThe most widely used data validation library for Python, and the de facto standard. 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.
InfrastructureAnthropic's first generally available Mythos-class model, released June 9, 2026. 1M context, 128K max output, $10/$50 per million tokens. Built for long-horizon agentic work.
AI ModelsAnthropic's Opus model released May 28, 2026, and its recommended default until Opus 5.5 shipped in September 2026. 1M context, 128K output, $5/$25 per million tokens.
AI ModelsDeepSeek's open-weights frontier family, previewed April 24, 2026. V4-Pro is 1.6T total / 49B active params; V4-Flash is 284B / 13B. 1M context standard. Weights on Hugging Face.
AI ModelsOpen-source AI coding agent for terminal, desktop, and IDE. Works with 75+ LLM providers including Claude, GPT, Gemini, and local models. Runs parallel sessions on one project.
AI CodingGoogle's asynchronous coding agent. Point it at a GitHub repo, it clones to a cloud VM, plans with Gemini, and opens a pull request. Tiered plans from 15 to 300 tasks per day.
AI CodingFree, open-source (Apache-2.0) AI agent built in Rust, governed by the Agentic AI Foundation. Desktop app, CLI, and API. Bring any of 15+ model providers or an existing subscription.
AI CodingMac app for running parallel Claude Code, Codex, and Cursor agents in isolated workspaces. Watch every agent work at once, then review and merge their changes.
AI CodingOpen-source AI gateway: call 100+ LLM providers in the OpenAI format via a Python SDK or proxy. Spend tracking, budgets, rate limiting, load balancing, and fallbacks built in.
AI FrameworksInstall the dd CLI and scaffold your first AI-powered app in under a minute: Next.js 16, Convex, Clerk, Autumn, Tailwind v4 and an agent-ready CLAUDE.md.
GuideWhat MCP servers are, how AI clients like Claude Code call their tools, how to add one through .mcp.json, and how to build your own in TypeScript.
GuideInstall Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.
GuideDeep comparison of the top AI agent frameworks - LangGraph, CrewAI, Mastra, CopilotKit, AutoGen, and Claude Code.
GuideAsk quick side questions without derailing the main task.
GuideWrite your first Claude Code skill: pick a task, write the frontmatter and body, add failure modes, then install it and test it with real prompts.
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.
GuideKeep exploring

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