CODING

DeepReinforce AI released Ornith-1.0, a family of open-source coding models claiming self-improvement. The HN thread reveals a mix of skepticism and genuine interest - here is what the model actually does and whether the hype holds up.

Alibaba shipped Qwen 3.7 Max on May 19, 2026 with a 1M token context window, Anthropic-compatible API, and agent-first architecture. Here is what developers need to know about pricing, performance, and when to use it.

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.

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

Anthropic's flagship reasoning model. Best-in-class for coding, long-context analysis, and agentic workflows. 1M token context window. Available via API and in Claude Code.

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.

Clickable PR link in the footer with review state color coding.

Qwen3.6-27B keeps pulling developers back because it sits in the awkward, useful middle: strong enough for real local coding tasks, small enough for serious workstation testing, and cheap enough to benchmark honestly.

AI coding platform built for large, complex codebases. Context Engine indexes 500K+ files across repos with 100ms retrieval. Intent desktop app orchestrates parallel agents.

OpenAI'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.

Open-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.

Factory AI's terminal coding agent. Runs Anthropic and OpenAI models in one subscription. Handles full tasks end-to-end - refactors, incident response, migrations.

Open-source autonomous coding agent inside VS Code. Creates files, runs commands, and can use a browser for UI testing and debugging with your permission.

Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.

Google'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.