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Debugging
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Analytics and errors for your AI coding agentShare252 agentry.shReleased 10d agoFree + from $39/mo4984
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AI wrote the app. Replay QA finds what broke.Share2,239 www.replay.io -
AI agents that code, test, and deploy autonomously.Share4,361 agenhq.comReleased 3mo agoFree + from $59/mo5,271165.0 -
AI-powered IDE for faster coding82,457 www.cursor.shShare
Vanessa🙏 126 karmaDec 19, 2024@CursorCursor is underrated.999 Reply Share Edit Delete Report
Models 17
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Ornith-1.0-397B-FP8 is DeepReinforce's open-source 397B MoE agentic coding model with FP8 quantization. Built on Qwen 3.5 and RL-trained to jointly optimize scaffolds and solutions, it achieves state-of-the-art performance on Terminal-Bench 2.1, SWE-Bench, and NL2Repo. Supports reasoning, tool use, and 262K context. MIT licensed.NewTextReleased 4d ago
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Ornith-1.0-397B is a 397B MoE open-source reasoning model for agentic coding, post-trained on Qwen 3.5 MoE via a self-improving RL framework that jointly learns task solutions and the scaffolds guiding them. Achieves 82.4 on SWE-Bench Verified and 77.5 on Terminal-Bench 2.1. MIT licensed with tool-calling and 256K context support.NewMultimodalReleased 7d ago
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By OpenAIGPT 5.6 Terra is a balanced model in OpenAI's GPT 5.6 preview series. It offers performance competitive with GPT 5.5 while costing about half as much. Terra shows improved coding and cybersecurity capability that scales with reasoning effort, and is paired with a layered safety and misuse safeguard stack during its limited preview release.NewTextReleased 8d ago
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By OpenAIGPT 5.6 Luna is the fast and affordable tier of OpenAI's GPT 5.6 preview series. It is the lowest cost model in the family while still delivering strong capability, including cybersecurity gains that scale with reasoning effort. Luna is released as part of a limited, safeguard paired preview alongside the Sol and Terra models.NewTextReleased 8d ago
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By CohereNorth Mini Code 1.0 is Cohere’s Apache 2.0 agentic coding model with 30B total parameters and 3B active parameters, built for repo-level software engineering, terminal agents, local coding, and code generation.NewCodingReleased 25d ago
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By MicrosoftMAI-Code-1-Flash is Microsoft AI’s 5B inference-efficient agentic coding model integrated into GitHub Copilot, VS Code, and the Microsoft stack.NewCodingReleased 1mo ago
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By xAIGrok Build 0.1 is xAI’s fast coding model for agentic coding, web development, debugging, MCP support, and tool-calling workflows.NewMultimodalReleased 1mo ago
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By AnysphereComposer 2.5 is Cursor’s coding-agent model for long-running software tasks, complex instruction following, and agentic coding inside Cursor.NewMultimodalReleased 1mo ago
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By poolsideLaguna XS.2 is poolside’s open 33B MoE coding model for agentic software work on local machines. It uses 3B activated parameters per token, supports native reasoning with interleaved thinking around tool calls, and is designed for long-horizon coding with low KV-cache requirements and Mac-friendly deployment.NewMultimodalReleased 2mo ago
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By Kai StephensCarnice-V2-27B is a BF16 supervised fine-tune of Qwen3.6-27B for Hermes-style agent traces. It is built for agentic conversational use, instruction following, and tool-oriented workflows, and is released as a fully merged standalone checkpoint rather than only a LoRA adapter.NewTextReleased 2mo ago
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By Cognition AISWE-1.6 is Cognition’s latest model for software engineering agents, built to improve both raw capability and what the company calls “model UX.” It is positioned as fast, low-cost, and smoother to use in practice, with up to 950 tok/s and better behavior in agent workflows.NewTextReleased 2mo ago
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By OpenAIGPT 5.1 Codex is a code-focused variant that maps specs to working code, writes diffs and tests, and understands repositories with long context, tool calling, and strict JSON or patch output.CodingReleased 7mo ago
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By AlibabaQwen3 Coder is Alibaba’s code-focused Qwen3 variant. It handles repo-aware generation, completion, debugging, and test creation, with long context, tool and function calling, and strict JSON or diff outputs for IDEs and agents.TextReleased 11mo ago
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By Vercelv0-1.5-lg is Vercel's larger composite AI coding model for full-stack web app generation. It pairs a bigger frontier base LLM with retrieval-augmented context and a custom AutoFix error-correction model, supports a 512K token context window, and excels at complex reasoning tasks like specialized physics engines and multi-step database migrations.CodingReleased 1y ago
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By Vercelv0-1.5-md is a composite AI coding model from Vercel that generates full-stack web application code. It pairs a frontier base LLM with retrieval-augmented context and a custom AutoFix model that corrects errors during code streaming, producing higher-quality React and Next.js code with fewer mistakes.CodingReleased 1y ago
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By Vercelv0-1.0-md is Vercel's original composite AI coding model for the v0 platform. It combines Anthropic's Claude Sonnet 3.7 as its base model with retrieval-augmented context and a custom AutoFix error-correction pipeline to generate full-stack web application code from text and image prompts.CodingReleased 1y ago
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By DeepSeekDeepSeek R1 is a reasoning-first large language model built to solve complex problems with explicit multi-step thinking. It excels at math, coding, and logical analysis, supports long context, tool/function calling, and structured JSON outputs, and can trade latency for higher accuracy via extended "thinking" budgets.TextReleased 1y ago
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