Coding Assistantopen source

Pythagora-io

The first real AI developer

upvotes
0
reviews
10
avg rating
4.5
AI Agents PlatformAgentic IDECollaborative Coding ToolsApplication SecurityCoding AssistantCI/CD and Automation

about

GPT Pilot aims to research how much LLMs can be utilized to generate fully working, production-ready apps while the developer oversees the implementation. The main idea is that AI can write most of the code for an app (maybe 95%), but for the rest, 5%, a developer is and will be needed until we get full AGI. If you are interested in our learnings during this project, you can check our latest blog posts.

features & capabilities

  • /GitHub Copilot: AI-powered code completion and suggestion tool integrated into various code editors.
  • /GitHub Codespaces: Cloud-based development environments providing instant access to pre-configured development setups.
  • /GitHub Actions: Automation platform for software workflows, enabling tasks such as building, testing, and deployment.
  • /GitHub Issues: Issue tracking system for managing bugs, enhancements, and other requests.
  • /GitHub Pull Requests: Facilitates code review and collaboration on code changes before merging into the main branch.
  • /GitHub Discussions: Platform for community collaboration and open-ended conversations outside of code.
  • /GitHub Code Search: Powerful code search functionality for efficient code discovery and navigation.
  • /GitHub Projects: Project management tools for organizing and tracking work using boards, tables, and task lists.
  • /GitHub Packages: Package hosting service for software packages, supporting both private and public hosting.
  • /GitHub Advanced Security: Suite of security features for detecting and addressing vulnerabilities and secrets in code.
  • /GitHub CLI: Command-line interface for managing GitHub repositories and workflows.
  • /GitHub Desktop: Desktop application for simplifying Git workflows and visualizing code changes.
  • /GitHub Mobile: Mobile applications for accessing and managing GitHub repositories and tasks on mobile devices.
  • /GitHub Sponsors: Platform for financially supporting open-source projects and developers.
  • /GitHub Skills: Learning platform for acquiring new skills through interactive tasks and projects within GitHub.
  • /Dependabot: Automated dependency update tool for managing and updating project dependencies, including security updates.
  • /Protected branches: Enforce branch merge restrictions by requiring reviews or limiting access to specific contributors.
  • /Webhooks: Enables integration with external services by triggering events and actions based on repository activities.
  • /GitHub-hosted runners: Cloud-based environments for running GitHub Actions workflows.
  • /Self-hosted runners: Allows running GitHub Actions workflows on users' own machines.
  • /Workflow visualization: Tool for visualizing and tracking the progress of complex workflows.
  • /Workflow templates: Pre-configured workflow templates for standardizing and scaling best practices.
  • /Security campaigns: Tools to address security debt by targeting and fixing vulnerabilities at scale.
  • /Secret scanning: Detects and alerts users about hard-coded secrets in repositories.
  • /Dependency graph: Visualizes project dependencies and their vulnerabilities.
  • /Dependency review: Allows assessment of the security impact of new dependencies before merging.
  • /GitHub security advisories: Enables private reporting, discussion, and publication of security vulnerabilities.
  • /Private vulnerability reporting: Enables private reporting of vulnerabilities in open-source repositories.
  • /GitHub Advisory Database: Database of known vulnerabilities and security advisories.
  • /Repository rules: Enforce code quality and security standards with customizable rulesets.
  • /Enterprise accounts: Enables collaboration between organizations and GitHub environments with centralized management.
  • /GitHub Connect: Facilitates sharing features and workflows between GitHub Enterprise Server and GitHub Enterprise Cloud.
  • /SAML: Single sign-on (SSO) integration for secure access control.
  • /LDAP: Integration with Lightweight Directory Access Protocol (LDAP) for user directory management.
  • /Enterprise Managed Users: Manages user lifecycle and authentication from an identity provider.
  • /Bring your own identity provider for Enterprise Managed Users: Allows using custom SSO and SCIM providers for user management.
  • /Domain verification: Verifies organization's identity on GitHub.
  • /Compliance reports: Provides access to compliance reports such as SOC reports and CSA CAIQ.
  • /Audit log: Tracks actions performed by organization members.
  • /Repository insights: Provides data-driven insights into repository activity and trends.
  • /Wikis: Enables hosting project documentation within repositories.

industry focus

SoftwareAI

FAQ

What is Pythagora-io?
Pythagora-io is an AI agent profile on explainx.ai. The directory summarizes positioning, optional website links, and community ratings so buyers and developers can compare agents before visiting the vendor.
How are Pythagora-io reviews calculated?
This page shows 10 ratings with an average of about 4.5 out of 5, combining illustrative sample rows with signed-in user reviews—always validate claims on the official product site.
Where can I browse more agents?
Use the explainx.ai agents index at /agents to filter by category, upvotes, and related listings.
agent reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Pythagora-io is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.

  • Piyush G· Sep 9, 2024

    We compared Pythagora-io with three neighbors in the same category; this one had the most concrete “what it does” framing.

  • Chaitanya Patil· Aug 8, 2024

    Solid agent profile: Pythagora-io links out cleanly and the on-site reviews add signal beyond marketing copy.

  • Sakshi Patil· Jul 7, 2024

    Pythagora-io reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Pythagora-io for teams already running multiple AI agents; the listing helped us narrow the short list quickly.

  • Oshnikdeep· May 5, 2024

    Good discoverability: Pythagora-io shows up in the agents directory with enough detail to pre-qualify buyers.

  • Dhruvi Jain· Apr 4, 2024

    Pythagora-io has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.

  • Rahul Santra· Mar 3, 2024

    According to our evaluation, Pythagora-io benefits from clear positioning — fewer buzzwords than typical agent landing pages.

  • Pratham Ware· Feb 2, 2024

    We piloted Pythagora-io for two weeks; the registry summary and category tag matched what the product actually emphasizes.

  • Yash Thakker· Jan 1, 2024

    Pythagora-io is a strong agent listing on explainx.ai — the profile made it easy to compare capabilities before we signed up on the vendor site.