SDLC Playbook is the AI-powered accountability and documentation layer for the software development lifecycle. It connects to GitHub, Azure DevOps, Jira, and Slack and continuously verifies that the process your team says it follows is the one it actually ran, then generates the proof as a byproduct of shipping.
Three classes of AI agents work across the full lifecycle. Authoring agents draft user stories, acceptance criteria, test plans, and UAT scripts for human review and approval. Enforcement agents check every pull request, sprint, and release for code review, linked requirements, test evidence, and rollback plans, with hard gates and an audited override workflow. Documentation agents continuously produce release notes, runbooks, architecture diagrams, and audit-ready evidence packages mapped to NIST 800-218 SSDF, SOC 2, and NIST 800-171, with ISO 27001, HIPAA, and CMMC Level 2 on the roadmap.
It is not a coding assistant. It is the evidence and governance layer underneath your existing tools, including for teams whose code is increasingly written by AI. It is built for everyone who works in the lifecycle, not only engineers: engineering leaders, product managers, project managers, QA, compliance and security staff, and the executives who sign attestations.
Pricing is per seat across Team, Business, and Enterprise tiers. Enterprise includes AWS GovCloud, Azure Government, and on-prem options for federal and regulated customers. The first ten design partners receive 90 days free.
FeatureShark is an all-in-one platform designed to revolutionize how one collect and manage customer feedback. With FeatureShark, one can centralize feedback from various sources, prioritize features based on data-driven insights, and streamline your product management process. The platform offers a complete feature suite that includes feedback collection, visual roadmaps, and a support hub to turn every interaction into a product insight.
FeatureShark is an all-in-one platform designed to revolutionize how you collect and manage customer feedback. With FeatureShark, you can centralize feedback from various sources, prioritize features based on data-driven insights, and streamline your product management process. The platform offers a complete feature suite that includes feedback collection, visual roadmaps, and a support hub to turn every interaction into a product insight.
Smart Prioritization: Utilize AI-powered insights to determine what truly matters to your users.
Seamless Delivery: Track the journey from idea to shipped feature in a single workflow.
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Smart Surveys: Ask the right questions at the right time to gain actionable insights.
Integrations: Connect with tools like Slack, Jira, GitHub, and more to streamline your workflow.
FeatureShark is designed to help you ship features your customers actually want, reducing time wasted on unnecessary features and improving feature adoption rates. With a focus on AI-powered insights, FeatureShark ensures you build data-driven roadmaps and close the loop with users effectively.
Octopyd is an AI-driven recruitment platform that revolutionizes the hiring process by integrating advanced artificial intelligence with human expertise. It automates and optimizes every stage of recruitment, from sourcing and evaluation to outreach, ensuring organizations connect with top-tier talent efficiently and effectively.
Key Features and Functionality:
- Automated Sourcing and Profile Enrichment: Octopyd's AI agent, LEVI, translates job descriptions into detailed skill sets and criteria, sourcing qualified prospects and enriching profiles with data from publications, patents, and platforms like GitHub.
- 7-Tier Evaluation Process: The platform employs a comprehensive evaluation system that includes AI-driven assessments and expert-led technical interviews, ensuring a thorough vetting of candidates.
- Hiring Manager Portal: Octopyd integrates seamlessly with existing Applicant Tracking Systems (ATS), providing a centralized portal for hiring managers to review candidates, streamline feedback, and make informed decisions without switching tools.
- Cultural Fit Analysis: Beyond technical skills, Octopyd assesses candidates for alignment with company values and work environments, promoting higher retention rates and cohesive teams.
Primary Value and Solutions:
Octopyd addresses common recruitment challenges by reducing time-to-hire, minimizing the risk of bad hires, and enhancing the quality of candidates through its AI-powered, end-to-end hiring solutions. By automating repetitive tasks and leveraging expert insights, it allows HR teams to focus on strategic decision-making and building stronger, more aligned teams.
VULNWatch is a comprehensive website security assessment platform designed to simplify and enhance the process of identifying and addressing web vulnerabilities. Leveraging over 13 years of cybersecurity expertise and advanced AI-powered tools, VULNWatch offers in-depth, automated evaluations to help business owners and developers secure their websites efficiently and confidently.
Key Features and Functionality:
- Unified Security Engine: Integrates industry-leading tools—both commercial and open-source—into a single, intelligent platform, providing centralized security intelligence.
- Comprehensive Vulnerability Scanning: Utilizes tools like Zed Attack Proxy (ZAP), WPScan, and sqlmap to detect a wide range of vulnerabilities, including SQL injections and issues specific to WordPress.
- AI-Powered Analysis: Employs a proprietary AI module to enhance detection capabilities, prioritize alerts, and offer tailored remediation advice.
- Threat Intelligence Integration: Incorporates data from sources like the GitHub Advisory Database and URLhaus to stay updated on the latest threats.
- Historical Domain Analysis: Uses Web Archive to investigate the historical evolution of a domain, exposing previously exposed files or deprecated assets vulnerable to reactivation.
Primary Value and Problem Solved:
VULNWatch addresses the critical need for accessible and effective website security by providing a unified platform that simplifies vulnerability assessments. By integrating multiple security tools and leveraging AI, it offers users unmatched visibility and actionable insights into their website's threat landscape. This empowers users to proactively identify and mitigate vulnerabilities, ensuring robust protection against potential cyber threats.
Monte is a project forecasting tool designed to accurately predict project completion dates using evidence-based scheduling. By analyzing historical project data, Monte runs extensive simulations to generate easy-to-read charts that identify probable end dates with associated confidence levels. This approach eliminates the need for guesswork and traditional estimation methods, providing a more reliable and data-driven timeline for project completion.
Key Features and Functionality:
- Evidence-Based Scheduling: Utilizes historical project data to run one million simulations, producing forecasts grounded in real-world performance.
- Confidence Level Charts: Generates visual representations of probable project end dates, each accompanied by a confidence percentage, allowing teams to plan with greater certainty.
- Adaptability to Changes: Quickly recalculates forecasts when project parameters change, such as the addition of new tasks, ensuring up-to-date and accurate timelines.
- Automated Data Integration: Connects seamlessly with project management tools like Jira and GitHub to automatically extract the latest project data, streamlining the forecasting process.
Primary Value and Problem Solved:
Monte addresses the common challenge of accurately predicting project completion dates, a task often hindered by human estimation errors and unforeseen variables. By leveraging historical data and advanced simulations, Monte provides project managers and teams with reliable forecasts, enhancing planning accuracy and confidence. This data-driven approach reduces reliance on subjective estimates, mitigates risks associated with project delays, and facilitates more informed decision-making throughout the project lifecycle.
WatchThis.dev was an AI-powered tool developed by Vercel Edge Functions and OpenAI, designed to provide personalized recommendations for TV shows and movies based on user preferences. Users could select their preferred type of content—TV show, movie, or no preference—and choose from various categories such as action, adventure, and animation. By specifying additional criteria, the tool generated curated lists of recommendations tailored to individual tastes. This open-source project, developed by Steph Dietz, aimed to enhance the entertainment discovery experience by leveraging artificial intelligence to deliver customized suggestions.
Key Features:
- AI-Powered Recommendations: Utilized artificial intelligence to offer personalized TV show and movie suggestions based on user inputs.
- Category Selection: Allowed users to explore content across various genres, including action, adventure, and animation.
- Refined Customization: Enabled users to specify additional criteria to further tailor their recommendations.
- Vercel Edge Functions Integration: Facilitated easy deployment of the application using OpenAI's API key.
- Open-Source Development: Developed by Steph Dietz, an active contributor on platforms like Twitter and GitHub.
Primary Value:
WatchThis.dev addressed the common challenge of discovering new and relevant entertainment content by providing personalized recommendations. By leveraging AI and user-defined preferences, it streamlined the process of finding TV shows and movies that aligned with individual tastes, saving users time and enhancing their viewing experience.
Scavio is a unified data API that gives developers and AI agents structured JSON from 50+ platforms through a single REST endpoint and
API key.
Instead of managing dozens of official APIs, each with its own auth, rate limits, quotas and response formats, Scavio normalizes
everything into clean, consistent JSON. One integration replaces fifty.
Supported platforms span every major vertical:
- Social media: Instagram, TikTok, YouTube, X (Twitter), Reddit, LinkedIn, Facebook, Threads, Pinterest, Twitch
- Search and ads: Google Search, Google Maps, Google News, Google Trends, Google AI Mode, Google Shopping, Google Flights, Google Hotels
- E-commerce: Amazon, Walmart, eBay, Etsy, AliExpress, Target, Home Depot, TikTok Shop
- Jobs: Indeed, Glassdoor, LinkedIn Jobs
- Travel: Booking.com, Airbnb, Tripadvisor, Yelp
- Real estate: Zillow, Redfin
- Dev and government: GitHub, Legistar (1,800+ US cities)
Scavio is built for integration. SDKs ship for Python and JavaScript. Official plugins cover LangChain, LlamaIndex, CrewAI, OpenAI
Agents SDK, Vercel AI SDK, Pydantic AI, Haystack, AutoGen, Google ADK, Composio, Mastra and n8n. An MCP server and a Claude Code plugin
connect directly to AI coding tools.
Pay-as-you-go or monthly plans starting at $30/month. Free tier includes 50 API credits on signup.
SPAICE is an innovative platform designed to enhance collaboration and productivity by providing a dynamic space for users to create, manage, and share projects seamlessly. It offers a user-friendly interface that integrates various tools to streamline workflows and foster efficient teamwork.
Key Features and Functionality:
- AI Behavior Instructions: Users can define how the AI should think and behave when responding, allowing for customized interactions.
- Context Selection: The platform enables users to select additional context by uploading folders or GitHub repositories, enhancing the relevance and accuracy of AI responses.
- API Requests: SPAICE supports API requests with customizable themes, including light and dark modes, to suit user preferences.
- File and Node Operations: Users can perform various operations such as saving, loading, connecting, and disconnecting nodes, facilitating efficient project management.
- Visualization Tools: The platform offers visualization features like color coding, connecting files to their functions, and enabling AI-highlight, aiding in better understanding and organization of projects.
Primary Value and User Solutions:
SPAICE addresses the need for a cohesive and adaptable workspace that integrates AI capabilities with project management tools. By allowing users to define AI behavior, select relevant contexts, and utilize various operational and visualization tools, SPAICE enhances productivity and collaboration. It simplifies complex workflows, reduces the time spent on manual tasks, and provides a centralized platform for managing diverse projects, ultimately leading to more efficient and effective outcomes for its users.
Frax is an AI-driven platform designed to automate deal sourcing for venture capital funds, enabling investors to identify and engage with thesis-aligned startups more efficiently. By leveraging intelligent agents, Frax continuously scans the live web to discover emerging companies that fit specific investment criteria, ensuring that no potential opportunity is overlooked.
Key Features and Functionality:
- Automated Sourcing Agents: Frax's agents actively search the internet, including company websites, LinkedIn, Crunchbase, GitHub, and news outlets, to identify startups that match predefined investment theses.
- Real-Time Deal Radar: The platform provides a live feed of newly discovered companies, allowing investors to stay updated on potential deals as they emerge.
- Customizable Investment Theses: Users can define and refine their specific investment criteria, ensuring that the sourced deals are highly relevant to their focus areas.
- Comprehensive Data Integration: Frax integrates information from various sources, offering a holistic view of each potential investment opportunity.
Primary Value and Problem Solved:
Frax addresses the challenge of efficiently identifying and evaluating early-stage investment opportunities in a rapidly evolving market. By automating the deal sourcing process, it reduces the time and resources traditionally required for research, allowing venture funds to deploy capital into promising startups more swiftly. This proactive approach ensures that investors remain competitive by accessing high-quality deals before they become widely known.
ThinkAny is an AI-powered search engine designed to enhance information retrieval through advanced artificial intelligence technologies. It offers a versatile platform that integrates multiple functionalities to cater to diverse user needs.
Key Features and Functionality:
- Multi-Mode Usage: ThinkAny supports various modes, including search, chat, and summarization, allowing users to interact with information in multiple ways.
- Diverse Chat Models: The platform incorporates multiple chat models such as GPT-4 Turbo, Claude-3 Opus, and LLaMA3-70B, providing users with a range of AI interactions.
- Comprehensive Search Capabilities: Users can perform searches across different formats, including links, images, and videos, ensuring a thorough exploration of content.
- Flexible Output Formats: ThinkAny offers various output formats like outlines, mind maps, and timelines, enabling users to receive information in their preferred structure.
- Multiple Information Sources: The platform retrieves data from diverse sources, including Google, Wikipedia, and GitHub, ensuring comprehensive and reliable information.
Primary Value and User Solutions:
ThinkAny addresses the need for an efficient and intelligent search experience by combining advanced AI models with versatile functionalities. It simplifies the process of information retrieval, analysis, and presentation, catering to users who require detailed and structured data. By integrating multiple search modes and output formats, ThinkAny enhances productivity and decision-making for professionals, researchers, and general users alike.
DiagramGPT by Eraser is an AI-powered tool designed to streamline the creation of technical diagrams. Leveraging OpenAI's GPT-4 technology, it enables users to generate various diagram types—including flowcharts, entity relationship diagrams (ERDs), cloud architecture diagrams, and sequence diagrams—by interpreting natural language descriptions or code snippets. This functionality allows for rapid visualization of complex systems, enhancing both documentation and communication within engineering teams.
Key Features and Functionality:
- AI-Powered Diagram Generation: Automatically creates diagrams from textual descriptions or code inputs, reducing manual effort.
- Support for Multiple Diagram Types: Generates flowcharts, ERDs, cloud architecture diagrams, sequence diagrams, and more, catering to diverse technical needs.
- Editable Outputs: Diagrams are fully editable using Eraser's diagram-as-code syntax, allowing precise customization.
- Integration Capabilities: Seamlessly integrates with tools like GitHub, Notion, Confluence, and VS Code, facilitating incorporation into existing workflows.
- Collaboration Features: Supports real-time collaboration, enabling multiple team members to work on diagrams simultaneously.
Primary Value and User Solutions:
DiagramGPT addresses the challenge of efficiently creating and maintaining technical diagrams by automating the generation process. It allows engineering teams to quickly visualize complex systems, improving documentation accuracy and team communication. The tool's integration with popular platforms ensures that diagrams remain synchronized with project developments, while its collaborative features foster teamwork and streamline the design process.
Accessibility Pro is an automated web accessibility scanner for development teams. It checks websites against WCAG 2.2 Level AA with five engines on every page (axe-core, IBM Equal Access, ARC, pa11y and Lighthouse), re-verifies findings against the live DOM, and reports one defect as one finding with the element and the evidence.
For findings that can be fixed in code, it generates a patch, applies it to a sandboxed copy of the captured page and re-scans; the patch is offered as a unified diff only when the original violation is gone and no new violation appeared. A GitHub Action runs the scan on every pull request, posts one comment that updates itself, can fail the check on errors or WCAG failures, and outputs SARIF.
Every finding carries its ADA Title III litigation tier and its European Accessibility Act and EN 301 549 clause. Team and Business reports add an EN 301 549 criterion table, JSON export and a VPAT, and name the criteria automation cannot test rather than counting them as passes. It adds no overlay script to any site and never claims or certifies compliance: automated testing reliably covers only 30 to 40 percent of WCAG 2.2 criteria, and the scanner's precision and recall are published.
Plans: a free one-page checker with no account, a free account with 150 pages a month, and flat per-organisation Developer, Team and Business plans in EUR, metered on pages scanned, never per seat!!
Wizard Application is an all-in-one business platform for SMEs and growing businesses. It replaces the stack of disconnected tools most teams juggle with a single workspace, so clients, candidates, staff, projects and invoices all live in one place and share the same data.
Win and manage clients with the sales CRM, from lead capture to orders and PDF invoices. Hire with a recruitment ATS that includes candidate pipelines, job board integration and AI CV parsing. Onboard and manage your team with HR tools for leave, departments and employee records. Run projects with Kanban boards, Gantt charts, time tracking and timesheets that roll straight into invoices, then get paid online by card or PayPal.
Beyond the core, teams get a help desk with a knowledge base, team chat, an email and SMS inbox, document management, workflow automation, ISO 27001-aligned incident management, a password vault and reporting. Wizard AI works across the platform, and integrations include Xero, Stripe, PayPal, GitHub, Google Workspace and Microsoft 365.
Wizard Application is built for recruitment agencies, law firms, consultancies, software companies and start-ups that want enterprise capability without enterprise complexity or cost. Start on the free Starter plan with no credit card or try any paid plan free for 7 days. UK-based and Cyber Essentials certified.
MCP Security is a robust, open-standard framework designed to enhance the integration of Large Language Models (LLMs) with external systems, emphasizing secure and efficient data exchange. By utilizing the Model Context Protocol (MCP), it ensures real-time state synchronization between LLMs and various data sources, effectively preventing context loss in high-throughput scenarios.
Key Features and Functionality:
- Core Architecture: Operates on a client-host-server model, employing JSON-RPC 2.0 over multiple transport layers to facilitate seamless communication.
- Context Management: Maintains real-time synchronization between LLMs and data sources, ensuring consistent and up-to-date information flow.
- Security Architecture: Implements strict access controls, comprehensive audit trails, and isolates server connections with defined permission boundaries to safeguard data integrity.
- MCP Servers: Provides specialized servers for integrating with platforms like GitHub, PostgreSQL, and Google Drive, enabling secure and efficient data access.
- MCP Clients: Offers client applications such as Claude Desktop, Zed Editor, and MCP CLI, facilitating user-friendly interactions with MCP-enabled services.
Primary Value and User Solutions:
MCP Security addresses the critical need for secure, real-time integration between LLMs and external systems. By ensuring efficient context management and enforcing stringent security measures, it empowers organizations to leverage LLM capabilities without compromising data integrity or system performance. This solution is particularly beneficial for developers and enterprises seeking to enhance their AI applications with reliable and secure external data interactions.
3Edit is vibe coding, right on your desktop. Describe what you want and 3Edit builds real, professional websites, web apps, MVPs and online stores, as standard Next.js code that you own and can download any time.
Power the AI your way:
- 3Edit Agent: ready instantly, nothing to set up
- Your own Claude or ChatGPT plan: 3Edit runs Claude Code or Codex for you, no API keys, no extra bills
- 3Edit Node: unlimited AI on your own graphics card, no per-prompt fees
Everything you need to launch is built in: a visual editor (click anything and describe the change), SEO, one-click publishing to your own domain or your own Vercel, your own Supabase database, GitHub backup of every save, version history, and "Rebuild any website" from a link. Starter kits give you a full backend in seconds for online stores, booking sites, CRMs and dashboards.
A complete marketing suite in the same app: Studio video editor, Podcast, UGC video ads, Design for social posts and banners, Motion, Voice & Music, Image, Cinema, Upscaler and AI Presenter. Everything lands in one shared Library, ready for your website, ads and social media.
Sell your own merch with print on demand: design products by chatting with the AI, list them in one click, and every paid order goes straight to Printful to be printed and shipped.
For agencies: find
Elastic Docs is a hosted documentation platform for teams where writers, product managers, and engineers all work on the docs, and nobody should need Git to do it.
Everyone edits the same page in a Notion-style block editor, with live cursors, inline comments, and threads. There are no branches, change requests, or merges. Pages support callouts, tabs, steppers, columns, code blocks, tables, variables, and native Mermaid diagrams.
An AI Style Reviewer checks every page against your style guide (Microsoft, Google, Chicago, or your own) for voice, clarity, banned terms, and structure. It explains each finding and offers one-click fixes.
Publish branded docs sites on your own domain, or export the same content to HTML, PDF, EPUB, and Markdown. Every publish is a versioned checkpoint you can restore in one click. Content is Markdown-native, so you can export it at any time on every plan.
Developers and AI agents get an API and an official CLI with a drop-in skill for coding agents like Claude Code. Agents can read your page tree and update pages safely with scoped keys and ETags. You can import existing docs from GitHub.
Pricing is flat per workspace, never per seat or per site. Free covers one site. Pro is $29/month with unlimited sites, unlimited editors, and a custom domain. Business is $99/month.
AgentConnect is an open-source platform for building, configuring, and operating teams of AI agents that work alongside people in the tools a company already uses.
Each agent is defined in a web console with its own instructions, runtime, model, workspace, tools, memory, and machine. Agents run multi-step work autonomously, started from a chat message, an issue or pull request, a webhook, or a schedule. An agent can delegate bounded work to other agents, and each worker runs in its own session under its own permissions, returning a result rather than access.
Agents reach external systems through MCP servers, through GitHub, GitLab, Gitea, and Linear, and through Slack, Telegram, Discord, and Lark. Reviewed organization Knowledge gives every agent a governed source of shared reference material.
Operators get a Playground for testing agent behavior before deployment, a session view with transcripts and visibility controls, and usage and billing reporting. Recurring operations run on a schedule or webhook and bring exceptions into a shared conversation so the human decision stays visible. Five separate permission layers govern platform access, team visibility, which agents may call one another, who may read a session, and runtime sandboxing per agent.
AgentConnect is licensed under Apache-2.0 and can be self-hosted with Docker Compose or Kubernetes for data residency, or used as a managed cloud service.
ScanMyApp is an AI-powered code audit agent that scans web applications for security vulnerabilities, delivering scored reports with actionable, copy-paste fix prompts — all in minutes, with no calls required.
Built for solo founders, indie developers, and early-stage startups shipping AI-assisted apps (Lovable, Cursor, Bolt, Replit), ScanMyApp catches the security flaws that passive external scans miss: unprotected API routes, missing ownership checks, broken Row Level Security rules, and exposed secrets in front-end JavaScript.
Key features include:
- AI agent static code analysis detecting auth flaws, RLS misconfigurations, and exposed secrets
- Security score out of 100 with findings ranked by severity
- Copy-paste fix prompts compatible with AI coding tools
- Optional human-verified audit with false positive removal by a senior engineer
- Free passive external scan covering HTTPS, headers, exposed files, and public JS keys
ScanMyApp supports GitHub repositories and integrates with Supabase, Firebase, Next.js, Laravel, and Stripe-based projects. Pricing starts with a free external scan and scales through Express Audit ($99), AI + Human Review ($249–$499), and Full Code Audit ($1,500–$3,000) tiers. A re-scan option is available to compare before-and-after findings.
Reports are delivered as PDF and online summaries written to be readable by both technical developers and non-technical founders. A money-back guarantee applies if the report brings nothing useful.
SlashPeak is a cost tool for teams that run Google BigQuery. It shows where the money goes and how to spend less.
Connect a read-only service account. SlashPeak reads job and table metadata only. It never reads your table data. The first scan finishes in about 10 minutes and gives you a ranked list of savings.
See every dollar: slice spend by project, team, user, table, query, label and tool. Prices follow the way you are billed: on-demand, Editions capacity, or a mix. Totals are checked against your billing export.
Find the waste: 23 documented rules cover queries, storage, schema design and slot capacity. Each finding has a monthly dollar estimate, with the math shown, ranked by impact.
Fix it with the AI DBA: Cognis AI DBA turns findings into exact changes and can open GitHub pull requests, including dbt model fixes, for your team to review.
Catch spikes early: anomaly detection explains each spike, with email, Slack and webhook alerts and a weekly summary for leaders.
Plan and budget: cost centers with monthly budgets, Airflow cost per DAG and task, slot and reservation right-sizing, CSV and Excel exports, and a read-only REST API.
Teams usually find 10-20% of their BigQuery spend that they can cut. Free 30-day trial, no credit card.
AndonPulse is a software engineering intelligence platform that gives engineering leaders one live view of delivery across every team, so they can see what is slipping and why while there is still time to fix it.
AndonPulse connects to the tools your teams already use, including Jira, GitHub, GitLab, Linear, Cursor and HR systems like Sage HR and BambooHR. It builds a live model of your initiatives, epics, projects and tasks. No timesheets, no new fields and no workflow changes.
What you get:
- One view of every initiative across teams, with at-risk work flagged automatically
- Drill-down from an initiative to the exact task, team or person behind a delay, with time spent in each workflow stage
- Completion dates forecast from real progress
- Engineering metrics: cycle time breakdown, DORA metrics, sprint reports, pull request and review flow
- Resource allocation and project costs by initiative and type of work
- R&D capitalization reports aligned with ASC 350-40 and IAS 38, where every hour traces back to a task, a status change and a rule
AndonPulse works on your definitions, not fixed formulas. You set the statuses, issue types, labels, categories and rules, and our team helps with setup. Free plan for teams of up to 10, and a 14-day trial on paid plans.