SWE-agent vs Augment Code

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

Updated October 2026

SWE-agent

Princeton University

Open-source autonomous agent for GitHub issues & coding challenges

Open Source

75% verification coverage

Augment Code

Augment Computing

The agentic SDLC platform for loops

Paid

81% verification coverage

Trust & Reliability

SWE-agent

Users:10K-100K

Augment Code

Uptime:99.93%Status page

Users:100K-1M

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

GDPR

SOC 2

HIPAA

Overall Winner: Augment Code

7.0/10 vs SWE-agent at 4.7/10

Leads in:

Customization

Integration

Compliance & Data Protection

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

SWE-agent

4.7

avg score

Augment Code

7.0

avg score

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

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Augment Code

7.0 / 10

SWE-agent

Best For

Researchers and developers building autonomous coding agents

Engineering teams automating bug fixes in GitHub repositories

Cybersecurity professionals identifying vulnerabilities with AI

Academics and students exploring agentic AI for software engineering

Augment Code

Best For

Enterprise engineering teams automating repetitive SDLC tasks at scale

Development teams seeking to accelerate code review and merge times

Security teams automating vulnerability remediation and incident response

Organizations modernizing large, complex codebases with AI-driven migrations

* 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🎧Customer Support7.0

Augment Code is best for

✍️Writing & Content9.0💬Chat & Conversation9.0🔍Research7.0

Filter by your use case:

Limitations

SWE-agent

Cons

SWE-agent is now in maintenance-only mode, with development focused on mini-swe-agent
Requires a language model of choice (e.g., GPT-4o or Claude Sonnet 4) to function

Augment Code

Cons

Standard and Business plans each cover up to 50 seats

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

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

SWE-agent

4.7

/ 10

Augment Code

7.0

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

SWE-agent

2.0

Augment Code

5.0▲ +3.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

SWE-agent

7.0

Augment Code

8.0▲ +1.0

Support

How strong is the documentation, customer support, community, and learning resources?

SWE-agent

6.0

Augment Code

6.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

SWE-agent

2.0

Augment Code

8.0▲ +6.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

SWE-agent

5.0

Augment Code

8.0▲ +3.0

Performance

Calculated

Latency + throughput speed

SWE-agent

5.0

Augment Code

6.0▲ +1.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

SWE-agent

6.0

Augment Code

8.0▲ +2.0

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

SWE-agent

Task

Augment Code

2.0

Code Completion

7.0

8.0

Bug Detection

7.0

4.0

Code Explanation

7.0

5.0

Refactoring

7.0

6.0

Test Generation

7.0

6.0

Multi Language Support

6.0

8.0

Context Understanding

9.0

3.0

Documentation Generation

5.0

4.0

Performance Optimization

4.0

6.0

Security Scanning

7.0

2.0

Api Management

3.0

Ci Cd Integration

7.0

* 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 is a strong choice, while Augment Code is a strong choice. 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 (paid model). Use the Cost Calculator above for a detailed estimate.

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

SWE-agent — "Open-source autonomous agent for GitHub issues & coding challenges". Augment Code — "The agentic SDLC platform for loops". 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.

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 a paid tool. Always verify current pricing directly with the vendor.

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