Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • Checksum.ai Reviews & Ratings
    1 Rating
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • Aikido Security Reviews & Ratings
    226 Ratings
    Company Website
  • Windsurf Editor Reviews & Ratings
    168 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    12 Ratings
    Company Website
  • Retool Reviews & Ratings
    570 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    142 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • Sendbird Reviews & Ratings
    164 Ratings
    Company Website

What is DeepSWE?

DeepSWE represents a groundbreaking advancement in open-source coding agents, harnessing the Qwen3-32B foundation model trained exclusively through reinforcement learning (RL) without the aid of supervised fine-tuning or proprietary model distillation. Developed using rLLM, which is Agentica's open-source RL framework tailored for language-driven agents, DeepSWE functions effectively within a simulated development environment provided by the R2E-Gym framework. This setup equips it with a range of tools, such as a file editor, search functions, shell execution, and submission capabilities, allowing the agent to adeptly navigate extensive codebases, modify multiple files, compile code, execute tests, and iteratively generate patches or fulfill intricate engineering tasks. In addition to mere code generation, DeepSWE exhibits sophisticated emergent behaviors; when confronted with bugs or feature requests, it engages in critical reasoning regarding edge cases, searches for existing tests in the codebase, proposes patches, creates additional tests to avert regressions, and adapts its cognitive strategies based on the specific challenges presented. This remarkable adaptability and efficiency position DeepSWE as a formidable asset in the software development landscape, empowering developers to tackle complex projects with greater ease and confidence. Its ability to learn from each interaction further enhances its performance, ensuring continuous improvement over time.

What is CodeMender?

CodeMender, an advanced AI-powered tool developed by DeepMind, is designed to automatically identify, analyze, and rectify security vulnerabilities found within software code. By leveraging the sophisticated reasoning capabilities of the Gemini Deep Think models alongside various analytical methods—such as static and dynamic analysis, differential testing, fuzzing, and SMT solvers—it adeptly uncovers the root causes of issues, formulates high-quality solutions, and ensures that these fixes are validated to avert regressions or functional failures. The functionality of CodeMender includes proposing patches that adhere to predefined style guidelines and maintain the overall structural integrity of the code; it also utilizes critique and verification agents to evaluate its modifications and self-correct when problems are detected. Furthermore, CodeMender has the capability to actively refactor existing code, integrating safer APIs or data structures, like incorporating -fbounds-safety annotations to reduce the risk of buffer overflows. To this point, this remarkable tool has successfully contributed numerous patches to major open-source projects, some of which encompass millions of lines of code, demonstrating its significant potential to enhance software security and reliability. As it continues to evolve, CodeMender is expected to achieve even more remarkable progress in the field of automated code enhancement and safety, revolutionizing how developers approach code quality.

Media

Media

Integrations Supported

Gemini
Gemini 2.5 Deep Think
Gemini Enterprise
Gemma
Imagen
Lyria
Together AI
Veo

Integrations Supported

Gemini
Gemini 2.5 Deep Think
Gemini Enterprise
Gemma
Imagen
Lyria
Together AI
Veo

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Company Facts

Organization Name

Google DeepMind

Date Founded

2010

Company Location

United States

Company Website

deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/

Categories and Features

Categories and Features

Popular Alternatives

Devstral 2 Reviews & Ratings

Devstral 2

Mistral AI

Popular Alternatives

Devstral Small 2 Reviews & Ratings

Devstral Small 2

Mistral AI
DeepCoder Reviews & Ratings

DeepCoder

Agentica Project
Claude Security Reviews & Ratings

Claude Security

Anthropic
KAT-Coder-Pro V2 Reviews & Ratings

KAT-Coder-Pro V2

StreamLake