Augment Code vs Amp (Sourcegraph)
Comprehensive side-by-side comparison — features, pricing, performance, and more.
Trust & Reliability
Augment Code
Amp (Sourcegraph)
Too Close to Call
Amp (Sourcegraph) (6.8) vs Augment Code (6.4) — difference of 0.4 points
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Augment Code
6.4
avg score
Amp (Sourcegraph)
6.8
avg score
Both tools score very similarly overall — the best choice depends on your specific priorities.
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Too close to call — it's a tie
Augment Code
Amp (Sourcegraph)
* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology
Augment Code is best for
Amp (Sourcegraph) is best for
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Limitations
Augment CodeCons
- Requires technical expertise for setup and customization of agent workflows
- Business plan limits to 50 seats, requiring Enterprise for larger teams
- Usage-based billing on top of the flat monthly fee can lead to variable costs
- No explicit mention of a free tier for individual developers to try without commitment
- Relies on external LLM providers, incurring additional costs for model inference
Amp (Sourcegraph)Cons
- Requires technical expertise for full utilization of advanced features
- Pricing for enterprise plans starts at $16K, which may be prohibitive for smaller teams
- No explicit free tier for individual users, only enterprise-focused plans
- Relies on external AI models for agent capabilities, not an inherent LLM
- No mention of specific SDKs or client libraries for custom agent development beyond APIs
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Dimension Comparison
Augment Code
6.4
/ 10
Amp (Sourcegraph)
6.8
/ 10
Dimension Breakdown
Ease of Use
AIHow intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?
Output Quality
AIHow accurate, reliable, and useful are the outputs this product generates?
Value for Money
AIHow well does the pricing match the features and output quality delivered?
Customization
CalculatedHow much can users tailor workflows, settings, prompts, or outputs to their needs?
Support
AIHow strong is the documentation, customer support, community, and learning resources?
Integration
CalculatedHow well does it connect with other tools, APIs, and workflows?
Accuracy & Reliability
AIFactual accuracy and hallucination resistance
Compliance & Data Protection
CalculatedCompliance certifications and data-protection posture, aggregated from verified compliance signals
Performance
CalculatedLatency + throughput speed
Task Completion
AIEnd-to-end task success rate
Tool Use Correctness
AIPicks the correct tool + correct arguments
Planning Quality
CalculatedMulti-step planning depth + replanning capability
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
Augment Code
Task
Amp (Sourcegraph)
* Task scores (1–10) are algorithmically generated from publicly available data.