Business Software for Claude Code

Blume serves as a desktop sidecar tailored for AI coding agents, enabling developers to monitor each agent's actions, maintain consistent project context, and identify potential drift before it impacts the codebase. It integrates seamlessly with tools like Cursor, Claude Code, Codex, omp, and Pi, consolidating agent activities, hidden files, skills, hooks, rules, and provider usage into a single interface. The Agents view provides insights into the status of each coding agent, indicating whether they are currently active, have completed their tasks, or are pending approval, while the Setup section reveals the instructions and configuration files that dictate agent behavior. Additionally, usage tracking helps developers keep tabs on remaining plan limits and token usage across various providers like Claude, Codex, and Cursor, thereby minimizing the risk of unexpected disruptions. Blume also securely stores conversation history locally, enabling on-device reviews of rules, skills, and hooks. Its Improve workflow actively identifies recurring points of friction within conversations, groups related issues, and suggests actionable improvements, which may include new rules or the creation of reusable skills, ultimately enhancing the overall coding experience. Furthermore, this continuous feedback loop fosters a more efficient development process, allowing teams to adapt and refine their workflows as needed.

Spendstream enables businesses that interact directly with customers to establish their own customized rewards, cashback, and gift card systems without the need for developing the underlying infrastructure. By utilizing our API and comprehensive white-label services, companies can offer incentives to their users when they shop with prominent UK brands, such as supermarkets and various retailers. These rewards can be given in forms like cashback, account credits, competition entries, loyalty points, or other currencies unique to the brand. The outcome of this service is the creation of an additional revenue source, enhanced customer engagement, increased repeat interactions, and a more attractive value proposition for customers. Spendstream is especially beneficial for companies involved in prize draws, fintech solutions, loyalty programs, membership organizations, publishers, community groups, or any business looking to capitalize on customer spending beyond their own sales transactions. This approach not only fosters customer loyalty but also strengthens partnerships with leading brands, driving mutual growth and success.

bb is an innovative, local-first IDE that allows for extensive customization while interacting with AI coding agents, enabling users to automate, control, and even enhance its functionalities. With just a single prompt, users can effortlessly modify nearly every aspect of the environment, including the addition of panels, CLI commands, skills, plugins, and workflows, which become instantly accessible to their agents. The platform’s various features, such as GitHub integration, agent memory, scheduled tasks, and remote access, are structured as plugins utilizing the same tools that users can employ. Furthermore, its command line interface supports integration with external applications, such as shell scripts, cron jobs, and messaging bots from Telegram, Signal, and Slack, which can initiate tasks that remain visible in the sidebar. bb accommodates several coding agents, like Claude Code, Codex, Cursor, Pi, OpenCode, Grok, omp, and Hermes, allowing users to delegate tasks to the most appropriate agent or enable one agent to create and oversee another in distinct threads. Additionally, all work is executed on the user's own device, providing the flexibility for tasks to persist and operate autonomously until the user decides to resume their interaction. This level of independence enhances productivity and allows for a seamless workflow experience.

Oqoqo serves as a comprehensive platform for creating evaluations and tailored benchmarks for practical tasks requiring agency, enabling teams to conduct large-scale experiments in realistic settings utilizing fully managed cloud services. Users have the flexibility to establish private sets of tasks and criteria, evaluate agents on their ability to interact with various products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, while also facilitating the comparison of agents, models, interventions, and levels of effort under consistent conditions. Each individual task operates in its own separate environment, complete with the necessary project state, context, files, tools, and credentials. Oqoqo meticulously records every aspect of each run, documenting commands, tool interactions, errors, files, and the point at which an agent ceased functioning, ultimately providing metrics such as pass or fail results, pass rates, improvements, token utilization, and areas of friction. With these valuable insights, teams are empowered to pinpoint issues within product interfaces, address token inefficiencies, analyze performance variances, rectify failures, and subsequently re-execute the experiments for further refinement and learning. This iterative process fosters a culture of continuous improvement, ensuring that agents are consistently enhanced for optimal performance.

Nativ is an entirely open-source application designed for macOS, enabling users to execute OpenAI models locally on Apple Silicon, thereby bringing cutting-edge intelligence directly to your workspace without the need for accounts or cloud infrastructure. It features an intuitive chat interface that facilitates streaming responses, supports Markdown and code highlighting, accepts image inputs, and offers performance metrics for each message, all while ensuring that responses are generated locally on the device. The app includes a curated library of models from various teams, such as Google, Cohere, and Liquid AI, and it intelligently suggests models that align with the specifications of your Mac hardware. Built on the MLX-VLM architecture and optimized for M-series unified memory and Metal, Nativ operates models seamlessly without the need for wrappers or translation layers. Users benefit from live telemetry that provides insights into tokens processed per second, memory usage, thermal conditions, and the time taken to generate the first token, giving a clear view of the inference process. Furthermore, Nativ accommodates diverse workflows, including language processing, vision tasks, video analysis, code assistance, and audio manipulation, allowing users to engage in activities like conversing with LLMs, generating image captions, summarizing video content, auto-completing code snippets, transcribing audio files, and producing speech outputs. This versatility makes Nativ an invaluable tool for developers and creators looking to harness local AI capabilities.

Dograh is a self-hostable voice agent platform that is open source and features a no-code workflow builder designed for developing production-ready voice agents. Teams have the flexibility to select their preferred inbound channels, speech-to-text services, language models, text-to-speech options, and telephony providers, or they can opt for innovative speech-to-speech models that facilitate direct audio interactions with seamless turn-taking, interruption management, and minimal latency. The platform caters to both inbound and outbound calling, offering widgets, telephony integrations, observability, tracing capabilities, real-time analytics, and a hybrid approach that combines pre-recorded voice with TTS, all while supporting over 70 languages. Additionally, the MCP server enables various agent runtimes, including Claude Code, Cursor, OpenClaw, and Codex, to create, modify, and deploy voice agents directly from development environments. Dograh can be operated on personal servers, within a private cloud or virtual private cloud, or in a managed setting, ensuring that models can be hosted entirely within the user's infrastructure. With its extensive features and adaptability, Dograh stands out as a versatile solution for teams looking to innovate in voice technology.

Nuphos serves as a DevOps environment tailored for AI, enabling engineering teams and AI agents to collaboratively manage production systems while maintaining control. These agents are designed to familiarize themselves with your infrastructure, troubleshoot problems, and seamlessly navigate platforms like AWS, GCP, Kubernetes, and Cloudflare, all while adhering to strict IAM permissions, human oversight, and comprehensive audit trails. Each session initiated by an agent can be confined to specific IAM roles and employs temporary, least-privilege credentials, ensuring that any proposed changes to the infrastructure undergo a prior approval process. Agents are capable of examining resources, accessing dashboards, analyzing logs, creating actionable plans, seeking necessary approvals, and performing safe actions, all the while accumulating knowledge about services, environments, workflows, runbooks, and the history of operations. Instead of toggling between different terminals, cloud interfaces, dashboards, and documentation, engineers and agents collaborate within a unified DevOps workspace for enhanced efficiency and coherence. This integrated approach fosters a streamlined workflow, allowing both teams and AI to innovate and respond to challenges more effectively.

Norma consistently verifies AI-generated code against a set of governed rules, delivering the same outcome each time. This verification process occurs in two distinct environments: Livecheck, which assesses a specific file or code snippet upon request from editors such as Cursor, Claude Code, Windsurf, or VS Code, and Full Scan, which conducts a thorough audit of an entire GitHub or Bitbucket repository, identifying the technology stack and frameworks even in the absence of a configuration file, while prioritizing issues based on severity and providing the necessary context for remediation. Evaluations of the rules are conducted through static analysis, ensuring that results remain consistent across different runs. The rules are derived from SOLID design principles and specific conventions for various technology stacks, with the flexibility to disable those that are not applicable. The coverage of this system includes multiple programming languages and frameworks, such as JavaScript, TypeScript, Python, PHP, Java, Node, React, and Supabase. Additionally, the MCP server provides a range of functionalities, including link_repository, get_rulesets, get_rules_for_ruleset, live_check, get_open_issues, and register_applied_actions, all secured by OAuth and listed on the Official MCP Registry. This robust framework ensures that developers can maintain high code quality while adapting to various project requirements seamlessly.

Slack Code offers a shared coding platform that unites team members and AI agents to collaboratively develop software transparently. By mentioning an agent, a temporary code channel is initiated for a designated task, which allows the team to have a focused space for tracking progress, providing guidance, reviewing modifications, and approving outcomes, all while keeping main channels uncluttered. The agents leverage the conversations and knowledge they are authorized to access, enabling them to utilize relevant team context right from the outset. Team members can articulate their development needs, allowing an agent to generate functional code as everyone observes, contributes feedback, and makes decisions on what gets deployed. Once the task is completed, these code channels are automatically archived, yet their context remains searchable for later use. Users can find and manage agents within the Agents tab, where they can monitor ongoing sessions, check live statuses, and identify when their input is required. Additionally, enhanced thread features create more descriptive titles, making it simpler to locate and continue previous work, thereby promoting a more organized workflow. This innovative approach not only enhances collaboration but also streamlines the entire coding process for teams.

AdAnt serves as an innovative AI tool designed to automate the creation of short-form video advertisements for social media platforms in a scalable manner. Users can input a product link, a website, or a reference video, engage in discussions about their creative vision through chat, and then produce customizable ad variations suitable for platforms like TikTok, Instagram Reels, and YouTube Shorts. It leverages successful social video patterns to suggest effective hooks, templates, avatars, and product narratives that align with the user's brief, subsequently generating numerous variations for potential testing. In the process of recreating a previously successful ad, AdAnt thoroughly examines its components, such as structure, scenes, pacing, hooks, captions, and visual rhythms, and then adapts the format for a new product and target audience. The creation process is structured around three essential dimensions—template, avatar, and product—allowing users to modify each element before generating a series of ads. Additionally, users can refer directly to products, avatars, and templates during their conversations, ensuring that all creative assets and decision-making occur within a single, cohesive workspace. This streamlined approach enhances collaboration and efficiency, making it easier for users to achieve their advertising goals.

Tines 3B is a robust platform designed for intelligent workflows, enabling users to efficiently create and implement AI agents, applications, and automation in a single, secure environment at scale. Users can initiate their projects using natural language prompts, articulate their processes conversationally, collaborate with an integrated LLM for brainstorming, or develop workflows through coding with integrated Git and branching capabilities. As users construct their workflows, the platform suggests tests, generates placeholder data when necessary, and prompts for confirmation before utilizing any live data or applications. The Dedicated Spaces feature ensures that the appropriate connectors, permissions, and skills are in place, while LLM Skills facilitate consistency in the development practices across various teams. Each step within a workflow operates in a secure, isolated sandbox, and credentials are dynamically injected during runtime via a transparent proxy to ensure that sensitive information remains protected from builders, AI systems, or stored code. Furthermore, these workflows can be executed in self-hosted, on-premises, or hybrid configurations, providing flexibility and adaptability for any organizational needs. This comprehensive approach allows teams to innovate rapidly while maintaining high standards of security and efficiency.

AdKit serves as a comprehensive advertising toolkit tailored for marketers and AI agents, integrating competitor analysis, ad development, campaign management, and performance evaluation into a seamless workflow. With access to an extensive library featuring over 500,000 advertisements, users can effortlessly import and monitor competitors across major platforms like Meta, Google, and LinkedIn, pinpoint enduring evergreen creatives, track which experiments competitors have discontinued, and receive timely updates on their activities. Additionally, the AI Ads Generator and Cloner allows for the creation of static ads from a brand kit, mimics the successful formats of competitor ads, crafts fresh variations, and modifies creatives through AI capabilities. AdKit also enhances connectivity with its Ads MCP and CLI tools, enabling AI agents such as Claude, ChatGPT, Codex, Cursor, Gemini CLI, OpenClaw, and others to interface directly with advertising accounts on platforms like Meta, Google, TikTok, Reddit, LinkedIn, X, and Microsoft Ads. These agents can conduct thorough campaign research, identify effective keywords, evaluate account performance, suggest strategies for discontinuation, scaling, or testing, and facilitate the upload of creative assets, ensuring that users have all the tools necessary for effective advertising management. This holistic approach empowers marketers to make more informed decisions and optimize their advertising efforts across multiple channels.

Enhance your productivity by ensuring only high-quality code is released, as SonarQube Cloud (previously known as SonarCloud) seamlessly evaluates branches and enriches pull requests with insights. Identify subtle bugs to avoid unpredictable behavior that could affect users and address security vulnerabilities that threaten your application while gaining knowledge of application security through the Security Hotspots feature. Within moments, you can begin using the platform right where your code resides, benefiting from immediate access to the most current features and updates. Project dashboards provide vital information on code quality and readiness for release, keeping both teams and stakeholders in the loop. Showcase project badges to demonstrate your commitment to excellence within your communities. Code quality and security are essential across your entire technology stack, encompassing both front-end and back-end development. That’s why we support a wide range of 24 programming languages, including Python, Java, C++, and many more. The demand for transparency in coding practices is on the rise, and we invite you to be a part of this movement; it's completely free for open-source projects, making it an accessible opportunity for all developers! Plus, by participating, you contribute to a larger community dedicated to improving software quality.

Every business, regardless of its type, requires development resources, which is why we allow you to determine your usage level. With every web hosting package, you receive a complimentary domain name, enabling you to either register a new one or transfer your current domain to us at no cost. Verpex is specially optimized for WordPress, allowing for seamless installations of WordPress and a variety of additional web tools through our auto-installer feature. Our dedicated Verpex engineers are on standby 24/7 to assist with any challenges you might face, reachable via live chat, phone, or support tickets. For enhanced performance, position your website closer to your audience with our servers located in cities from Sydney to Amsterdam. Powered by cPanel, a leading web hosting control panel, Verpex also incorporates Cloudlinux, Softaculous, SitePad, JetBackup, and Imunify360. To ensure the safety of your website, your files, emails, and databases are backed up twice daily, allowing you to restore your data to any point within the last 30 days through an intuitive interface. This comprehensive support and robust infrastructure ensure your online presence operates smoothly and efficiently.

C#, often referred to as "C Sharp," is a contemporary programming language characterized by its object-oriented and type-safe nature. This language allows developers to create a wide array of secure and efficient applications that operate within the .NET framework. With foundations in the C language family, programmers familiar with C, C++, Java, and JavaScript will find C# to be quite accessible. This guide offers a comprehensive overview of the essential elements of C# up to version 8. As an object-oriented and component-oriented language, C# includes specific constructs that facilitate the development and utilization of software components. Over time, C# has evolved by incorporating features that cater to new workloads and progressive software design methodologies. At its essence, C# embodies object-oriented principles, enabling developers to define types along with their associated behaviors while fostering a rich ecosystem for application development. The language continues to adapt and grow, ensuring its relevance in the ever-changing landscape of technology.

Coral is a developer-focused data access platform that lets teams query different tools and systems with SQL instead of writing custom connectors. It converts APIs, databases, files, and software platforms into readonly schemas that agents and humans can inspect, join, and analyze. Users can connect sources such as GitHub, GitLab, Slack, Linear, Datadog, Sentry, OpenTelemetry, Intercom, Stripe, and incident management tools. Once connected, Coral makes those sources available as tables, allowing cross-system questions to be answered through standard SQL. The platform is designed for AI agent workloads, giving coding agents and operational assistants access to structured context without unsafe write access. Coral works through the command line and over MCP, so multiple agents can share one runtime. It includes query pushdown, caching, pagination handling, schema hints, recommended joins, and relationship learning based on usage patterns. These capabilities help reduce expensive tool loops and improve the quality of agent-generated answers. Coral gives teams a practical way to make scattered operational data accessible, queryable, and useful for engineering, SRE, security, support, and internal operations.

DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters. In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster. DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting.

Superwhisper is an AI voice-to-text platform that helps users speak naturally and turn their words into polished writing across any app. The product supports dictation, meeting recording, file transcription, push-to-talk, shortcuts, custom modes, vocabulary controls, and AI-enhanced formatting. Superwhisper works anywhere users can type, including productivity apps, messaging tools, coding environments, and agentic AI workflows. Developers can use it with Cursor, Claude Code, OpenCode, Amp, Codex, Grok CLI, and other coding agents to provide richer context without typing long prompts. Custom Mode lets users define how Superwhisper thinks, writes, formats, and responds for different tasks or applications. Users can choose from language models such as GPT, Claude, Llama, Grok, Gemini, Ministral, and others to balance speed, accuracy, and complexity. The platform also supports voice models such as Whisper Large and can transcribe audio and video files. Its adaptability features help users shift between casual messages, professional emails, legal language, multilingual workflows, and specialized writing styles. By combining dictation, transcription, model selection, custom prompts, vocabulary, app integrations, and agentic coding support, Superwhisper helps users move faster with their voice.

MagicShot is a multi-purpose AI creative platform that combines image generation, video generation, professional photoshoots, media editing and voice creation in one workspace. The platform provides more than 85 AI tools powered by leading image, video and audio models. Users can generate content from text prompts, transform uploaded media, animate still images and edit existing content using natural-language instructions. MagicShot supports text-to-image, image-to-image, text-to-video and image-to-video workflows. It can create professional headshots, product photography, UGC advertisements, cinematic clips, avatars, logos, illustrations, voiceovers and music. Users can also remove backgrounds and objects, restore photographs, enhance facial details and upscale images or videos. The AI Video Editor allows creators to change objects, scenes, backgrounds and characters by describing the desired result. Its Video Upscaler supports clips up to 60 seconds with output up to 4K resolution and 60 FPS. MagicShot is designed for users who want access to modern generative AI models without managing several separate accounts or applications. The platform uses a paid, credit-based subscription shared across its image, video and audio tools.

Kisuke is an innovative application that turns your iPhone into a robust development platform. With this app, you can SSH into remote servers, execute Claude Code, modify files, navigate through the file system, oversee processes, and much more, all directly from your mobile device, enhancing your productivity on the go.

Traycer is a cutting-edge AI-powered tool that revolutionizes software development by emphasizing planning before coding through spec-driven development. It transforms high-level objectives into structured, coherent plans that can be iterated upon and refined to ensure alignment with the actual codebase. Developers can spin up multiple parallel agents to work concurrently, significantly accelerating complex projects. Traycer integrates with major AI coding assistants such as Claude Code, Windsurf, and Cursor, enabling users to plan in Traycer and execute code generation in their preferred tools seamlessly. The platform is highly regarded by engineers and technical founders for handling intricate tasks, improving understanding, and maintaining robust code quality. Pricing options include a free tier suitable for hobbyists and scalable paid plans with increased capacity and enhanced features. Traycer also offers a 14-day pro trial for users to experience the full capabilities of the platform. With SOC2 Type 2 certification and GDPR compliance, Traycer ensures data security and privacy.

Scanner.dev is a cloud-based security data lake and a streamlined security information and event management (SIEM) platform that allows users to index logs directly into their Amazon S3 storage, thereby enabling the retention of unlimited logs and facilitating full-text searches across vast amounts of data in mere seconds, all without the need for additional ETL processes or schema setups. With its lightweight indexing system, any log format can be made immediately searchable, and it offers rapid search capabilities, ongoing threat detection through customizable detection rules that can be managed as code via GitHub, and seamless alerting with APIs for automation and existing security workflow integration. The platform's streaming detection engine constantly assesses rule queries in nearly real time and is equipped to backtest detection logic using historical data. Furthermore, its API and Model Context Protocol (MCP) not only provide programmatic access but also allow for AI-assisted evaluation of security data, enhancing the overall security analysis process. This robust architecture ensures that organizations can effectively manage and respond to security threats with agility and precision.

TestDino is an innovative platform designed specifically for test reporting and management, with a focus on Playwright and support for multi-cloud platforms. It empowers developers by allowing them to leverage tools like Claude Code and Cursor to effortlessly query reports, investigate flaky tests, compare different test runs, and manage test suites using natural language commands. The integration with GitHub enables automatic posting of AI-generated summaries to pull requests and commits, while continuous integration checks can prevent merges if they do not meet quality standards. Users can efficiently rerun only the tests that failed with a single command, significantly reducing both CI time and costs. Additionally, pull request tracking associates each test run with its corresponding commit, and branch mapping organizes test runs according to their respective environments. Role-based dashboards provide QA teams with valuable insights into flaky tests and failure trends, while developers can quickly identify which tests may have been impacted by their latest changes. Each test run features AI-driven failure classification accompanied by confidence scores, suggestions for fixes, a specifications explorer, and grouped error analytics for deeper understanding. Furthermore, integration with tools like Jira, Linear, Asana, or Slack facilitates the creation of comprehensive bug reports that include all necessary context for efficient resolution. With its robust features, TestDino ensures that both developers and QA teams can maintain high-quality standards in their software development processes.

Kimi Code is an AI-driven coding assistant tailored for developers, available through the Kimi Membership, that aims to enhance efficiency by automating various software development processes and integrating effortlessly with widely-used workflows. It provides robust command-line interface (CLI) tools and is compatible with terminal environments and integrated development environments (IDEs) such as VS Code, empowering developers to read and modify code, obtain insights about codebases, create new features, resolve bugs, refactor existing code, and validate modifications through a user-friendly natural-language interface. The platform includes a specialized console that displays real-time logs, manages request quotas, and allows for pace adjustments, enabling users to set up API keys for applications like Kimi CLI, Claude Code, and Roo Code, which facilitates expedited coding with AI assistance while working within commits and ongoing workflows. In the VS Code environment, Kimi Code enhances the user experience with a built-in chat panel that supports slash commands, references to files and folders, diff views, and integration with external tools, providing context-aware coding help. Overall, Kimi Code represents a significant advancement in coding efficiency, making the software development process more intuitive and streamlined for developers at all levels.

Inspector is an innovative visual front-end IDE and editor powered by AI, designed to seamlessly connect your browser with your local codebase, enabling you to efficiently build, iterate, debug, and deploy user interfaces by integrating visual editing with intelligent coding assistants such as Cursor, Claude Code, or OpenAI Codex. Rather than switching between tools like Figma, DevTools, and your standard code editor, Inspector allows you to interact with elements directly, reposition them with a simple drag, modify text straight on the webpage, and add comments effortlessly; it then harnesses the capabilities of AI to implement these modifications back into your codebase with a comprehensive understanding of your actual React/HTML/CSS project. Operating locally ensures that your edits are accurate and secure, while also supporting Git workflows, which facilitate repo initialization, branch management, and the ability to commit, push, and create pull requests—all without departing from the visual workspace. Additionally, Inspector provides features such as DOM-aware screenshots, console log capture, and context-specific details for individual elements, enhancing AI comprehension and allowing for a chat-style interface where users can request specific changes. This streamlined approach not only simplifies the development process but also fosters a more intuitive and collaborative environment for developers.