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CaracterĂ­sticas de la herramienta

  • Available to the whole team, not bound to one engineer's editor like Cursor or Claude Code
  • Reads a request, says how it lands in your codebase, and asks before it acts
  • Writes the code in its own sandbox and opens a pull request you review and merge
  • Anyone at the company can report a problem in their own words and get a drafted fix
  • One engineer across every repo in a project, running in the cloud

DescripciĂłn

✦

min. is a cloud-based AI engineer integrated directly into your GitHub repositories, transforming natural language requests into pull requests for your team to review. It uniquely serves the entire team, enabling seamless collaboration and code quality improvements without merging any changes without human approval.

I'm really bad at following up with people. I made an AI assistant that follows up for me after a meeting in my voice, with all the context.

DescripciĂłn detallada

min. is an innovative AI-powered software engineer designed to seamlessly integrate with your GitHub repositories, acting as a dedicated AI engineer that understands your entire codebase. Its core purpose is to assist development teams by executing coding tasks autonomously, writing fixes, and opening pull requests for human review, thereby enhancing code quality and fostering collaboration. Unlike traditional AI coding assistants that are tied to a single engineer's editor, min. is available to the entire team, running in the cloud and supporting multiple repositories within a project. This approach ensures that the AI engineer is a shared resource, accessible to all members of an organization rather than being limited to individual users or environments. One of min.'s standout features is its ability to comprehend how a requested change fits within the broader codebase context. When a team member submits a request, min. analyzes where and how the change should be applied, communicates this understanding back to the team, and seeks approval before proceeding. This interactive process ensures transparency and reduces the risk of unintended modifications. Once approved, min. writes the code in its own isolated sandbox environment and generates a pull request for the team to review and merge, maintaining strict control over the main codebase. This sandboxing approach guarantees that no changes are merged without explicit human oversight, preserving code integrity. min. also democratizes code maintenance by allowing anyone in the company—not just engineers—to report issues in plain language and receive drafted fixes. This feature empowers non-technical team members to contribute to code quality indirectly, streamlining communication between departments such as product, sales, and support with engineering teams. The AI engineer operates across every repository in a project, providing consistent support regardless of the number of repos or engineers involved. Running entirely in the cloud, min. eliminates the need for local installations tied to specific machines, enhancing accessibility and scalability. The tool is best suited for software development teams of all sizes looking to improve productivity, code quality, and collaboration. It is particularly valuable for organizations with multiple engineers working across various repositories, as it centralizes AI assistance and ensures consistent coding standards. Use cases include automating bug fixes, implementing feature requests, refactoring code, and responding to issues reported by non-engineering staff. By handling routine coding tasks, min. frees engineers to focus on complex problems and innovation. min. offers a flexible pricing model starting with a free plan that supports up to five seats and a shared usage pool, ideal for small teams or those wanting to trial the service. The Team plan costs $20 per seat per month and includes a shared usage pool across the team, making it cost-effective for growing organizations. Enterprise plans are custom-priced and offer advanced features such as single sign-on (SSO), SAML, SCIM, data residency options, and the ability to bring your own infrastructure, catering to large companies with stringent security and compliance needs. Compared to alternatives like Cursor or Claude Code, min. stands out by being a team-wide AI engineer rather than an individual editor-bound assistant. This distinction allows for broader collaboration and centralized AI-driven code management. Its cloud-based operation and sandboxed pull request workflow provide enhanced security and control, ensuring that no code changes occur without human approval. Additionally, min.'s ability to interpret requests in natural language from any company member and translate them into code fixes is a unique feature that bridges communication gaps between technical and non-technical teams. However, there are some considerations to keep in mind. min. does not merge pull requests automatically; all changes require human review and approval, which may slow down workflows if teams are not responsive. It also does not train on your code or share your data with third parties, which is a strong privacy feature but means it may not continuously improve from your specific codebase beyond its initial understanding. Lastly, while min. supports macOS and Windows operating systems, users must download the application to interact with the AI engineer, which may require some setup. Overall, min. is a powerful AI coding assistant designed for team collaboration, offering a unique blend of codebase awareness, natural language understanding, and secure pull request workflows. It is ideal for teams seeking to augment their engineering capacity with AI while maintaining strict control over code quality and review processes.

Preguntas frecuentes

What is min.?

min. is an AI-powered software engineer that integrates with your GitHub repositories to understand your entire codebase, execute coding tasks, write fixes, and open pull requests for your team to review and merge. It acts as a dedicated AI engineer available to the whole team, enhancing collaboration and code quality.

How much does min. cost?

min. offers a free plan that includes up to five seats and a shared usage pool. The Team plan costs $20 per seat per month with a shared usage pool across the team. Enterprise plans are custom-priced and include advanced features like SSO, SAML, SCIM, data residency, and bring your own infrastructure options.

Who is min. best for?

min. is best suited for software development teams of all sizes who want to improve productivity and collaboration. It is especially beneficial for teams managing multiple repositories and those who want to empower non-engineering staff to report issues and contribute to code fixes.

What are the main features of min.?

Key features include team-wide availability rather than being tied to a single engineer's editor, understanding and communicating how requests fit into the codebase before acting, writing code in a sandbox environment, opening pull requests for review, allowing anyone in the company to report problems in natural language, and running as a cloud-based AI engineer across all repositories in a project.

Does min. offer a free trial?

Yes. min. offers a free plan that allows users to try the service with generous limits and access to the best coding models without requiring a credit card.

What integrations does min. support?

min. integrates directly with GitHub repositories and runs in the cloud, supporting macOS and Windows operating systems through downloadable applications. It works across multiple repositories within a project and integrates with team workflows via pull requests.

How does min. work?

When a user submits a request, min. analyzes how the change fits into the codebase and communicates this before proceeding. Upon approval, it writes the code in an isolated sandbox and opens a pull request for the team to review and merge. It never merges changes automatically, ensuring all code modifications are human-approved.

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Seedance 2.5 represents a landmark advancement in AI video generation technology, developed by ByteDance's Volcano Engine as the next-generation production-grade video foundation model. Unveiled in June 2026 and scheduled for full commercial release in early July, this iteration marks a structural leap forward from its predecessor, Seedance 2.0, transcending incremental quality refinements to address the fundamental limitations that have constrained AI video from true commercial viability. Built on an optimized diffusion architecture with industry-leading computational efficiency, Seedance 2.5 transforms AI video from fragmented visual snippets into a complete narrative medium, empowering creators, marketers, studios, and industrial teams to produce polished, consistent, and story-driven video content at unprecedented speed and scale. At the core of Seedance 2.5's breakthrough is its industry-leading 30-second native single-segment generation capability, doubling the 15-second ceiling of the 2.0 version and establishing a new global benchmark for continuous AI video output. Unlike conventional approaches that require stitching multiple short clips together—a workflow plagued by character inconsistency, lighting discontinuities, motion artifacts, and narrative fragmentation—Seedance 2.5 generates full 30-second sequences end-to-end in a single pass. Within this duration, the model maintains remarkable coherence across character appearance, physical motion, lighting atmosphere, and camera logic, enabling complete narrative arcs with proper setup, development, and resolution. This eliminates the labor-intensive post-production stitching process, reduces generation cycles for standard 90-second promotional videos from nine-plus segments to just three or four, and fundamentally elevates AI video from a novelty demonstration tool to a genuine narrative production instrument. The 30-second window comfortably accommodates full product demonstrations, complete short drama scenes, voiceover-accompanied explanatory sequences, and full music video segments, covering the majority of short-form commercial video requirements. Complementing its extended duration is Seedance 2.5's industry-most comprehensive multi-modal reference system, supporting up to 50 reference assets simultaneously including images, video clips, and audio tracks—a nearly fivefold increase over the previous generation's 12-asset limit. This massive expansion delivers unprecedented creative stability and controllability. The model holistically synthesizes stylistic attributes, character likenesses, shot compositions, and tonal qualities from all reference inputs, ensuring consistent visual identity across multiple generations. For brand content production, serialized IP development, and batch video creation, this resolves the longstanding pain point of AI video's inherent randomness—where each generation produces noticeably different results. Marketing teams can lock in brand color palettes, product specifications, and spokesperson appearances across dozens of output variants, while film teams can replicate specific cinematic styles, camera languages, and set aesthetics with remarkable fidelity. The reference system intelligently reconciles multi-source inputs without style conflicts, enabling complex multi-character scenes where every performer maintains consistent facial features, costumes, and proportions throughout the sequence. Seedance 2.5 further elevates creative control through its precision camera manipulation tools and built-in library of 50 professional cinematic shot templates. Creators can directly command camera movements—including push-ins, pull-outs, pans, tilts, and orbital shots—and specify shot scales from extreme close-ups to wide establishing shots. The curated template library organizes proven cinematic compositions by mood, shot type, and pacing, allowing users to achieve professional-grade cinematography without specialized film knowledge. Beyond generation, the model introduces advanced local editing capabilities that enable post-generation modifications such as background replacement, costume changes, and motion adjustments without full re-rendering, transforming the system from a pure content generator into an interactive creative decision-support tool. In terms of visual fidelity, Seedance 2.5 delivers native 4K resolution output at 30 frames per second with 10-bit color depth, eliminating the quality degradation inherent in upscaling lower-resolution sources. Fine details—fabric textures, hair strands, embroidery, and surface materials—remain crisp and defined rather than being smoothed away by super-resolution algorithms. Internal benchmarks demonstrate approximately 15% higher color accuracy than competing models, with particularly improved skin tone rendition and reduced teal-orange color grading bias, making outputs directly usable for professional advertising, corporate video, and broadcast applications. The platform also supports multiple aspect ratios including vertical, square, and widescreen formats for seamless cross-platform distribution across social media, e-commerce, and web channels. Beyond creative industries, Seedance 2.5 is engineered for industrial-grade deployment across manufacturing, retail, education, and advanced technology sectors. Enterprises leverage it to produce localized product documentation, multilingual training materials, and customer support videos at drastically reduced costs. In high-tech applications, it generates synthetic training data for embodied intelligence systems and simulates extreme weather or edge-case driving scenarios for autonomous vehicle development, addressing real-world data scarcity challenges. With API access for workflow automation, batch generation capabilities, and team collaboration features, Seedance 2.5 positions itself not merely as a creative tool but as foundational visual infrastructure for the AI era, bridging the gap between generative technology and real-world productivity.

  • Creates 30-second native 4K video
  • Uses 50 multimodal references
  • 3D pre-visualization

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