Evaluates source code using custom metrics like readability, maintainability, performance, and security. Generates a score with contextual suggestions to help teams improve code health pre-deployment.

Creates Business Requirement Documents (BRDs) and Functional Requirement Documents (FRDs) directly from stakeholder inputs, automatically aligning with product vision and technical feasibility.

Auto-generates API docs, sample code, and SDKs in multiple languages from API specs, ensuring developers have plug-and-play integrations.

Generates realistic mock data, stubs APIs, and spins up test environments automatically to accelerate developer testing.

When an API test fails due to improper validation (e.g., missing required fields), the platform analyzes the issue, detects missing logic, and recommends fixes like better error messages and security validations — all powered by AI.

Generates architecture diagrams, deployment topologies, and scaling strategies based on project type, workload, and tech stack preferences.

Automatically generates and executes test cases for code functions. Displays test outcomes and coverage stats, enabling fast debugging and continuous quality validation.

Monitors pipelines and diagnoses build/test failures with AI, providing step-by-step fix suggestions and configuration corrections.

Transforms raw code into UML diagrams, sequence flows, and ER models for easier team communication and system understanding.

An AI-driven tool that helps product teams draft clear, complete Product Requirement Documents (PRDs) through a chat interface. It asks smart follow-up questions, tracks completion in real-time, and allows export for sharing and offline editing.

Automatically summarizes documentation, tickets, and wiki pages into bite-sized references for faster onboarding and troubleshooting.

An interactive dashboard that presents real-time code quality, tech stack distribution, and project health using charts, progress bars, and visual summaries. Ideal for CI/CD integration, reviews, portfolios, and retrospectives.

A modular, visual dashboard built to communicate product goals, user segmentation, and value propositions at a glance. Designed for leadership, marketing, and stakeholders to align strategy, messaging, and market fit without digging into granular data.

Semantic search tool for large codebases that retrieves functions, classes, or usage patterns with contextual understanding (not just keyword match).

Converts plain-English rules into test logic and logs outcomes with detailed success/failure summaries and AI insights.

Analyzes project dependencies, flags security risks, and auto-suggests stable upgrade paths with minimal breaking changes.

Analyzes code changes to auto-generate meaningful commit messages, PR descriptions, and linked documentation.

Automatically generates cURL tests and validation logic for each API scenario, detecting edge cases like missing fields or invalid data types.

Generates complete, production-ready API implementation plans based on user inputs. It covers architecture, endpoints, data models, security, and tech stack recommendations ideal for rapid prototyping, team handoffs, and developer onboarding.

Displays real-time API metrics like uptime, response time, and failure stats enabling quick diagnosis via a single view.

Offers a side-by-side diff view of original vs. refactored code with color-coded changes. Enhances structure, decomposes functions, and improves documentation — all optimized for developer readability.