Compare Augment Code and Devin side by side. Both are tools in the Coding Agents category.
Updated March 10, 2026
Choose Augment Code if production-ready.
Choose Devin if dramatically reduced pricing makes AI coding accessible at USD 20/month.
Want to compare Augment Code and Devin on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
| Category | Coding Agents | Coding Agents |
| Pricing | Enterprise | Enterprise |
| Best For | Large engineering organizations who need enterprise-grade AI coding assistance | Engineering teams who want a fully autonomous AI software engineer |
| Website | augmentcode.com | devin.ai |
| Key Features |
|
|
| Use Cases |
|
|
Key criteria to evaluate when comparing Coding Agents solutions:
AI platform providing comprehensive solutions for enterprise applications. The platform provides essential capabilities for modern AI applications with focus on scalability and reliability.
Devin is an AI software engineer developed by Cognition AI that acts as an autonomous coding agent capable of handling end-to-end software development tasks. Launched in early 2024 and initially priced at USD 500/month for early access, Devin 2.0 dramatically reduced pricing to USD 20/month in April 2025, making it accessible to individual developers and small teams. Devin operates independently through Slack, handling tasks from bug fixes to complex feature implementation. The platform achieved 3x better performance than previous systems on the SWE-bench coding standard and has been used by companies like Nubank, which reported saving 20x the cost on migration tasks. Devin offers three pricing tiers: Core at USD 20/month with pay-as-you-go ACUs at USD 2.25 each, Team at USD 500/month with 250 included ACUs, and custom Enterprise pricing. While Devin excels at routine coding work and tedious tasks, developer feedback reveals it struggles with complex architectural decisions, integration conflicts, and can get stuck in technical dead-ends, completing only 15 percent of complex tasks without human intervention.
AI-powered developer tools that can write, review, debug, and refactor code—ranging from IDE copilots to fully autonomous software engineering agents.
Browse all Coding Agentstools →One platform for routing, observability, tracing, and evals across every LLM provider.