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Developer Tools AI Tools
Discover and compare the best developer tools AI tools and software. Browse 442+ curated tools with reviews and rankings.
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Skilldocs is a collaborative markdown editing tool described as "Figma for markdown." It allows users to open a skill document and have everyone inside it at once, with real cursors, inline comments, and an editor that renders as you type. Once the group has finished editing and discussing the document, the whole conversation and diff can be handed back to a coding agent. The product is aimed at teams and developers who work with markdown files and need a better way to collaborate than pasting documents into other apps or sharing screens. Collaborating on .md files is often painful. People paste them into Notion, open them locally and share their screens, or edit in separate tools without real-time awareness. After making edits and comments, there is no easy way to get the feedback back into coding agents. Skilldocs solves this awkward collaboration gap by providing a shared live workspace for markdown documents, so multiple people can work in the same file simultaneously and then export the results for agent use. Skilldocs combines features from several popular products: HackMD's mono viewer, Figma's live cursors and follow mode, Google Docs' real-time highlighting and comments, and Bear's beautiful WYSIWYG markdown editor. During a session, users can edit the doc together, leave inline comments, and see each other's cursors in real time. Afterward, they can copy the diff and comments and send them to their coding agent of choice. The product supports several ways to import skills: dropping a .md file, pasting markdown, importing from GitHub, or importing from a local machine via an MCP. Export is also simple: users can copy the .md of the current doc, the diff, or the comments. This flexibility makes it easy to bring existing markdown content into Skilldocs and then move the results back out. One notable feature is the ability to click on a teammate's avatar to follow them through a doc or even through switching docs. This works like following in Figma, feeling like a screenshare but snappier. Another feature is the ability to cmd+click to create multiple carets and edit several lines at once, a capability borrowed from Sublime. Skilldocs is positioned for collaborative document work in general. The maker notes that it's really fun having a meeting in it, indicating that the product can be used as a live collaborative space during meetings. The ability to hand the conversation and diff back to an agent also opens up workflows where coding agents can pick up context directly from the collaborative session. The product is launched as free, with a focus on productivity, developer tools, and artificial intelligence. The maker is Rajiv Ayyangar, and the product is built with Cloudflare, Vercel, and Claude Code. The team is considering adding proper team source control, as it has been requested by users, and is open to suggestions. Skilldocs addresses a real need for teams that work with markdown skills or docs and need both human collaboration and agent handoff. Its combination of real-time editing, live cursors, inline comments, and easy export to coding agents makes it a practical tool for modern collaborative development and documentation workflows.
witr is a command-line utility designed to answer the question "Why is this running?" for processes, PIDs, ports, containers, or files. It provides a deeper understanding of system activity by tracing the chain of execution back to its origin, unlike traditional tools like ps, top, or lsof which only show what is currently active. The problem witr addresses is the common frustration of encountering an unknown process, port, or container and having no clear way to determine its purpose or origin. Existing tools can identify the presence of these entities, but they fail to explain the context or the sequence of events that led to their execution. This lack of clarity can lead to confusion, wasted time in debugging, and potential security concerns. One of the core features of witr is its ability to trace the ancestry chain. When pointed at a specific process, PID, port, container, or file, witr reconstructs the sequence of events that led to its existence. This chain can include systemd units, supervisor processes, cron jobs, or shell sessions, providing a comprehensive view of how the target entity was initiated. Another key capability is the identification of the initiator and the timing of the process. witr not only shows who started a process but also when and from where it was launched. This historical context is crucial for understanding system behavior and for auditing purposes. witr also highlights important warnings associated with running processes. This can include information such as a process running as root, binding to all interfaces (0.0.0.0), having a deleted binary, or exhibiting a restart loop. These warnings are vital for system administrators and developers to quickly identify potential issues or misconfigurations. For interactive use, witr offers a Text User Interface (TUI) that presents information across different tabs: Processes, Ports, Containers, and Locks. This TUI allows for live searching and provides an ancestry side panel for quick reference, making it easy to explore system activity in real-time. Beyond the interactive TUI, witr is designed for scripting and automation. It offers a `--short` option for a concise, one-line representation of the ancestry chain and a `--json` output format that includes meaningful exit codes. This makes it suitable for integration into automated workflows and scripts, providing structured data and clear status indicators. The overall approach of witr is to provide a unified and insightful view of process origins. By leveraging system information and tracing parent-child relationships, it offers a more complete picture than disparate command-line tools. Its static Go binary distribution ensures ease of deployment across various operating systems. The benefits for users include faster debugging, improved system understanding, and enhanced security awareness. By quickly identifying the root cause of running processes and associated warnings, users can resolve issues more efficiently and proactively manage their systems. Concrete use cases for witr include diagnosing why a specific port is occupied, understanding the origin of an unexpected process consuming resources, tracing the lifecycle of a containerized application, or investigating file lock contention. For example, a developer might use witr to determine which service is responsible for binding a critical port, or a system administrator could use it to find out why a particular process is consuming excessive CPU. witr is a free, open-source tool available as a single static Go binary for Linux, macOS, Windows, and BSD. It is suitable for developers, system administrators, and anyone who needs to understand the intricacies of process execution on their systems. The tool is licensed under Apache-2.0. In summary, witr is an indispensable tool for system introspection, offering a clear and actionable explanation for why processes are running, thereby simplifying complex debugging and system analysis tasks.
DR 5
99xDev is an AI app builder designed to create full-stack web applications. Its main purpose is to enable users to build production-grade web apps using artificial intelligence, providing a comprehensive solution for app development. The product offers built-in database and storage capabilities, eliminating the need for separate infrastructure setup. It supports custom domains, allowing users to brand their applications professionally. A key feature is the ability to download the generated source code, which enables self-hosting and avoids vendor lock-in. The unique approach of 99xDev lies in its AI-powered development process that generates complete, functional web applications. By leveraging AI, it streamlines the creation of full-stack apps that include both frontend and backend components in a single workflow. The primary benefit is the creation of production-grade web applications that maintain high quality standards. This makes it suitable for developers and teams looking to rapidly prototype or build deployable web applications without compromising on technical robustness. Target users include developers, AI engineers, and teams interested in AI-assisted coding and full-stack development. The platform integrates AI coding capabilities with traditional web development workflows, though specific technical details about integrations are not explicitly mentioned in the provided content.
DR 0
Sleek Analytics is a privacy-first Google Analytics alternative for the modern web. It provides real-time website analytics with cookieless tracking and fast dashboards. The product offers real-time website analytics, cookieless tracking, and fast dashboards. It includes real-time visitor tracking and a live globe view to watch visitors arrive as they happen. The tool supports referrer and UTM tracking without cookies and uses multiple bot detection methods to keep reports clean while remaining privacy-friendly. Implementation is simple, requiring users to paste one line of code to start watching real visitors on their site live, with zero cookies and zero consent banners. The main benefits are simplicity, privacy-friendliness, and real-time data without adding unnecessary tracking, cookie banners, or a huge analytics setup. It provides clear, fast, understandable data for website owners. The target users are website owners who need clear, fast, understandable data without unnecessary tracking or cookie banners. It integrates with websites through a single line of code.
DR 75
OpenStatus is an open-source uptime and synthetic monitoring platform. Its main purpose is to monitor APIs and websites globally and showcase reliability with a public status page. Key features include global uptime and synthetic monitoring for APIs and websites. It provides a public status page to showcase service reliability. The platform is open-source, allowing for community contributions and transparency. It offers a free tier to get started. For MCP servers specifically, the tool performs a true protocol-level check, acting exactly like a real AI client. It goes beyond basic HTTP pings to validate the actual JSON-RPC handshake required for AI agents to function. The MCP Health Checker provides deep visibility by inspecting exact JSON-RPC payloads and negotiated versions. It offers smart authentication parsing, analyzing RFC 9728 headers on 401 responses to surface exact token requirements. This helps developers debug connectivity issues that standard uptime monitors would miss. The product benefits developers and teams building and maintaining MCP servers by ensuring their endpoints are truly functional for AI clients like Claude Desktop or Cursor. It solves the common problem where a server returns a 200 OK HTTP status but fails during the JSON-RPC handshake, which breaks AI agents. Target users are developers working with the Model Context Protocol (MCP) and AI agents. It is particularly useful for those building MCP servers who need to ensure protocol compliance and real client connectivity. The tool is open-source and integrates with the broader OpenStatus synthetic monitoring platform.
DR 9
Exstats is a platform that unifies browser extension analytics and market research across Chrome, Edge, and Firefox. It addresses the problem of fragmented data across different extension stores, making it difficult for builders to understand product performance, competitor activity, keyword relevance, and market changes. The main purpose is to bring all this information into one unified view for better market visibility. Key features include the ability to track your own extensions across Chrome, Edge, and Firefox. You can monitor competitors, including their ratings, reviews, rankings, and keyword positions. The platform provides access to explore over 280,000 browser extensions with advanced filters. Users can follow store and category trends to understand market movements. Additional capabilities include receiving daily updates on metrics, the ability to export data, and configurable alert systems. The platform keeps historical snapshots of data, allowing users to see trends over time for ratings, installs, users, and rankings. It pulls reviews into a unified view across all stores, eliminating the need to check each listing manually. The product works by collecting data from public extension store listings. Crawlers run once a day after midnight UTC to gather daily snapshots, keeping updates consistent and comparable. The approach normalizes data where fair comparison is possible, though it provides context for differences between stores, such as Chrome showing weekly users, Firefox having average daily users, and Edge being closer to installs/users. Benefits include saving time by eliminating manual checking across multiple stores. It provides better visibility into the extension market for product development and growth strategies. Use cases involve tracking extension performance, conducting competitor analysis, monitoring keyword positions, and observing store trends to inform business decisions. The target users are extension founders, indie makers, agencies, and teams that want better visibility into their market. It is built for anyone building or growing browser extensions. The platform covers Chrome Web Store, Firefox AMO (Add-ons), and Microsoft Edge Add-ons, providing a comprehensive cross-store analytics solution.
DR 23
Wandesk is an AI desktop environment where users can create custom applications simply by describing what they need in natural language. The core purpose is to move beyond AI conversation as the only interface, providing a persistent workspace where AI-generated software has shape and stays, enabling users to build tools like calorie trackers, reading lists, or invoice generators directly on their local machine. Key features include the ability to build apps through natural language description, support for plugging in various AI models (Claude Code, Codex, DeepSeek, OpenAI, Kimi, Qwen, or any OpenAI-compatible API), and shared context across all applications where the AI remembers user preferences and information. The platform operates 100% locally with no signup required, keeping all apps, data, files, and memory on the user's machine. Apps are generated with clear, layered structure including UI, logic, data layers, and an APP.md file that serves as a source of truth for future edits. The system works by having users describe their app needs in natural language, with the AI generating applications iteratively rather than in one shot. When descriptions are vague, the AI makes reasonable assumptions and builds a version 1 that users can refine through chat. The platform maintains one shared memory store above all applications, allowing context to be ambient and persistent without requiring per-pair wiring between apps. Every action is visible to users, with commands shown in chat, and the AI asks before performing destructive operations like deletions or overwrites. Benefits include the ability to prototype useful local tools quickly without spinning up full projects, complete data privacy since everything stays on the local machine, and editable application files that users can adjust manually or have the AI modify specific parts. Use cases range from developers wanting faster prototyping methods to non-technical users needing end-to-end solutions without touching a terminal, with examples including productivity trackers, fitness applications, invoice generators, and bill splitters. The target users initially are developers and builders who want to prototype local tools quickly, but the long-term direction aims to serve non-technical users who need to create applications without coding. The platform is available on macOS and Windows, is open source, and can integrate with MCP (Model Context Protocol) when needing to reach external services. Technical details include local storage in workspace folders with per-app SQLite databases, memory stored in a memories table, and applications structured as real editable files on disk.
DR 0
Review AI-generated plans before coding. Review code changes before merging. Inline comments, multi-round diffs, and a structured feedback loop for any AI coding agent. Single binary, works locally.
MD To is a free online Markdown converter that transforms .md files into Word, PDF, HTML, Image, and TXT formats with high accuracy. All processing happens locally in your browser with no signup required.
Tailwind Form Builder is a free drag-and-drop tool that creates responsive HTML forms using Tailwind CSS. It exports clean code for HTML, React, or Vue without requiring any login.