Can I use SWE-agent and Augment Code together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine SWE-agent and Augment Code with other tools and save your AI toolkit.

Does SWE-agent or Augment Code have a free plan?

SWE-agent is a paid tool. Augment Code is available for free. Always verify current pricing directly with the vendor.

SWE-agent vs Augment Code

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

SWE-agent

Princeton University

Autonomously fix GitHub issues and perform coding tasks with your preferred language model.

0.0(0)

OPEN_SOURCE

84% data quality

Augment Code

Augment Computing, Inc.

Build software with AI agents that understand your entire codebase.

0.0(0)

FREEMIUM

89% data quality

Trust & Reliability

SWE-agent

Trust data not available yet

Augment Code

Uptime:99.5% availabilityStatus page

Users:1K-10K

Customers (per vendor):MongoDB, Pure Storage, DXC +7

GDPR

Overall Winner: Augment Code

7.7/10 vs SWE-agent at 6.3/10

Leads in:

Output Quality

Customizability

Integrations

AI Comparison Summary

SWE-agent

6.3

avg score

Augment Code

7.7

avg score

Augment Code leads overall — particularly in Ease of Use and Output Quality and 2 more.

SWE-agent has an edge in Value for Money.

Based on 6 dimensions

How scores are calculated

Overall Winner

Augment Code

7.7 / 10

SWE-agent

Best For

Software developers automating bug fixes

Researchers in AI and software engineering

Cybersecurity professionals for vulnerability detection

Teams solving competitive coding challenges

Not Ideal For

Non-technical users seeking a no-code solution

Simple text generation or content creation tasks

Real-time customer support or conversational AI

Augment Code

Best For

Software engineers

Engineering teams

Enterprise development

Large codebases and monorepos

Not Ideal For

Solo developers or very small teams with minimal AI usage

Users primarily seeking simple code completion features

Teams not using VS Code or JetBrains IDEs

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

SWE-agent is best for

✍️Writing & Content8.0💬Chat & Conversation8.0🔍Research7.0

Augment Code is best for

✍️Writing & Content10.0💬Chat & Conversation10.0🔍Research8.0

Filter by your use case:

Pros & Cons

SWE-agent

Pros

Achieves state-of-the-art performance on SWE-bench
Offers high flexibility with choice of language models
Fully configurable through a single YAML file
Designed for research, making it simple and hackable
Supports multimodal input for processing images in issues
Open-source with an active community

Cons

Currently in maintenance-only mode, superseded by mini-swe-agent
Requires technical expertise for setup and configuration
Performance is dependent on the chosen language model
Not a plug-and-play solution for non-developers
May require human oversight for critical code changes

Augment Code

Pros

Deep contextual understanding of entire codebase
Generates high-quality, production-ready code
Robust multi-agent orchestration capabilities
Strong security and compliance (SOC 2 Type II, ISO 42001, CMEK)
Flexible deployment across IDEs and CLI
Supports switching between multiple leading LLMs
Automates coding standards enforcement
Reduces technical debt and improves developer productivity
Provides detailed code review feedback

Cons

Credit-based pricing can be complex to manage for unpredictable usage
Core completion features are being sunset for most plans, shifting focus to agents
Requires integration into existing IDEs (VS Code, JetBrains)
No explicit mention of HIPAA compliance

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

SWE-agent

6.3

/ 10

Augment Code

7.7

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

SWE-agent

3.0

Augment Code

7.0▲ +4.0

Output Quality

Quality and accuracy of generated results

SWE-agent

7.0

Augment Code

9.0▲ +2.0

Value for Money

Cost vs. features and output quality

SWE-agent

10.0▲ +4.0

Augment Code

6.0

Customizability

Calculated

Ability to tailor to specific needs

SWE-agent

7.0

Augment Code

9.0▲ +2.0

Support & Ecosystem

Documentation, community, and support quality

SWE-agent

7.0

Augment Code

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

SWE-agent

4.0

Augment Code

8.0▲ +4.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

SWE-agent

Task

Augment Code

6.0

Code Completion

8.0

Bug Detection

9.0

7.0

Code Explanation

8.0

7.0

Refactoring

8.0

6.0

Test Generation

7.0

5.0

Multi Language Support

7.0

8.0

Context Understanding

10.0

7.0

Documentation Generation

7.0

Performance Optimization

7.0

8.0

Security Scanning

8.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, SWE-agent or Augment Code?

Both are strong options. SWE-agent has a rating of 0.0/5 (0 reviews), while Augment Code has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is SWE-agent cheaper than Augment Code?

SWE-agent starts at free (open_source model). Augment Code starts at $20/month (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between SWE-agent and Augment Code?

SWE-agent — "Autonomously fix GitHub issues and perform coding tasks with your preferred language model.". Augment Code — "Build software with AI agents that understand your entire codebase.". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

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