AI

Anthropic's recommended default for complex work, released May 28, 2026. 1M context, 128K output, $5/$25 per million tokens. Defaults to high effort on all surfaces.

DeepSeek'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.

Open-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.

Google'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.

Open-source AI agent built in Rust, now governed by the Agentic AI Foundation at the Linux Foundation. Desktop app, CLI, and API. 15+ model providers, 70+ MCP extensions.

Mac 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.

Open-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.

Google released DiffusionGemma today, a 26B MoE open model that generates entire 256-token blocks in parallel instead of one token at a time. Here is what that means for latency, local inference, and the post-autoregressive landscape.

Open-source terminal agent runtime with approval modes, rollback snapshots, MCP servers, LSP diagnostics, and a headless HTTP API. Uses DeepSeek models by default.

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.

Python'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.

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.

Anthropic'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.

Alibaba'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.

DeepSeek'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 meeting notes that augment your own typing. Records the call, captures what you type, and fills in the gaps with context from the transcript.