Back to Tools

Factory (Factory.ai) is an agent-native software development platform for engineering teams. Definition: Factory allows the "Software Development Agent" to go directly into your IDE, browser, command line, and CI/CD to automatically complete refactoring, debugging, migration, and code review. With Factory, developers can delegate tasks in VS Code, JetBrains, or Slack/Teams scenarios to get traceable PRs and lower MTTR. Factory supports existing toolchains and any model vendor, emphasizing security and compliance to meet enterprise-level needs. Applicable long-tail keywords: Factory software development agent, Factory.ai enterprise AI programming, Agent-native engineering efficiency platform.

1. core functions

  • Connect software development agents to the IDE, browser, command line, and CI/CD processes.
  • Supports automated execution of engineering tasks such as refactoring, debugging, migration, and code review.
  • The results can be implemented as traceable PR, which is convenient for team review and collaboration.
  • Compatible with existing tool chains and different model suppliers, making it more suitable for the enterprise environment.

2. usage scenarios

  • Embedding AI agents into daily R & D processes in large engineering teams.
  • Automate some refactoring, troubleshooting, and code review tasks.
  • Delegate development work directly in Slack, Teams, or IDE.
  • Establish a more standardized and traceable AI R & D workflow for enterprises.

3. suitable for the crowd

  • Enterprise R & D team.
  • Technical managers and platform engineers.
  • Organizations that require PR-level traceability changes.
  • Companies that want to deeply integrate AI agents into their R & D processes.

4. common problems

What is the best job for Factory?

It is best suited to connect software development agents to the IDE, command line and CI/CD to handle practical engineering tasks.

Is Factory only suitable for individual developers?

No, it is obviously more of a usage scenario for enterprise-level engineering teams.

Why is Factory suitable for large teams?

Because it emphasizes traceability PR, compatibility with existing tool chains and safety compliance capabilities.

What development tasks can Factory do?

The public description mentions including refactoring, debugging, migration, and code review.

What is the difference between Factory and ordinary AI programming plug-ins?

It is more like an engineering platform, putting agent execution capabilities directly into the team's research and development chain.

Similar Tools

Google Antigravity

Google Antigravity

Google Antigravity is an AI programming environment for the "agent-first" era, helping developers collaborate with multiple agents to complete the entire process from planning to coding, debugging and delivery. Google Antigravity embeds agents in IDEs, terminals, browsers, and other development tools, supporting task decomposition, automated execution, and traceable artifact records for easy review and reproducibility. With powerful reasoning and tool calling capabilities, Google Antigravity significantly improves code generation, test orchestration, script execution, and cross-project collaboration, making it suitable for individuals and teams to quickly build modern applications and services.

Kiro

Kiro

Kiro is an AI-powered integrated development environment (IDE) powered by AWS that creates a full-process experience from prototype to production for developers. It uses a spec-driven development model that automatically converts natural language prompts into detailed requirements, system designs, and specific tasks, and performs code generation, documentation maintenance, unit testing, and performance optimization through intelligent agents. Built-in agent hooks support event-driven automation (such as saving file triggers) and Steering files to give users custom control over AI behavior. Kiro natively integrates Model Context Protocol (MCP) to connect to multiple tools and services (e.g., databases, documents, APIs), and is compatible with VS Code plugins and settings, supporting multimodal inputs such as image indication UI or architectural logic. Currently in preview, the core features are open for free, and tiered subscriptions are available for professional users.

ZOER

ZOER

ZOER is an AI full-stack web app builder aimed at entrepreneurs, product managers, and no-code developers. Its value is not that it decides everything for the user at once, but that it provides actionable assistance around the idea of building front-end, back-end, and database applications: users can describe requirements, build full-stack applications, preview and deploy code, and then complete the follow-up process based on their own business judgment. When choosing such a tool, you need to pay attention to code quality, data security, and online testing, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include AI web app generator, frontend, backend, and DB, making it more suitable for rapid application prototyping.

ZETIC.ai

ZETIC.ai

ZETIC.ai is an end-side AI deployment and NPU-optimized platform aimed at AI engineers, mobile development teams, and edge device teams. Its value is not that it does everything at once, but provides actionable assistance around deploying models to end-side devices and optimizing inference performance: users can convert models, test hardware, optimize NPUs, monitor performance, and then complete subsequent processing based on their own business judgments. When choosing such tools, you need to pay attention to device compatibility, model accuracy, and deployment validation, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output, all of which should be reviewed manually. Its visible capabilities include on-device AI, NPU optimization, and benchmark on devices, making it better suited for end-side AI engineering.

ZeroTrusted.ai

ZeroTrusted.ai

ZeroTrusted.ai is an AI zero-trust security and LLM firewall platform aimed at security teams, AI application teams, and enterprise IT managers. Its value is not to make all the work for users at once, but to provide actionable assistance around securing data, identity, and AI prompt interactions: users can configure LLM firewalls, anonymous prompts, monitor health status, and handle security incidents, and then complete follow-up processing based on their own business judgment. When choosing such tools, you need to be mindful of privacy data, policy misjudgments, and corporate compliance, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include LLM firewall, data protection, prompt anonymization, and SOAR, making it more suitable for enterprise AI security governance.

ZeroThreat

ZeroThreat

ZeroThreat is an AI web application and API security testing platform aimed at security teams, development teams, and DevSecOps personnel. Its value lies in not making all the decisions for users at once, but rather providing actionable assistance around scanning web applications and APIs for vulnerabilities and assisting in automated penetration testing: users can configure targets, run scans, view vulnerabilities, generate remediation recommendations, and follow up with their business judgment. When choosing such a tool, you need to pay attention to the scope of authorization testing, false positives, false positives, and fix verification, especially when it comes to accounts, customer information, contracts, courses, audio, video, or code output. Its visibility capabilities include AI-powered scanning, automated pentesting, and web/API security, making it more suitable for authorized security testing.

Latest Articles

Recommended Tools

More