Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Promptr records 0 monthly visits with 0% growth and Pay-as-you-go pricing.
Agent orchestration platform for your whole software development lifecycle
Compress LLM prompts with one REST API call and cut token costs
| Dimension / Metric | | |
|---|---|---|
| Official Domain | augmentcode.com | promptr.dev |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Pay-as-you-go |
| Monthly Visits | 326.22K (326,215) | 0 (0) |
| MoM Traffic Delta | +63.41K (+24.1%) | 0 (0%) |
| Primary Market & Share | 🇺🇸 United States (26.3%) | 🌐 Global (—) |
| Direct Visits / mo | 137.07K | 0 |
| User Rating | 4.5 | 3.6 |
| Supported Platforms | Website | Website |
Agent orchestration platform for your whole software development lifecycle
Indexes architecture, dependencies and conventions across large repositories so generated code and reviews match how your team actually writes software.
Runs connected SDLC loops — code review, ticket-to-PR, incident triage, dependency upgrades and security remediation — where each agent hands its result to the next.
Work pauses at defined checkpoints so engineers approve plans and consequential actions instead of letting agents ship unreviewed changes.
Execute agents in managed cloud sandboxes, on local machines and dev VMs for sensitive code, or in your own AWS and GCP environments.
Compress LLM prompts with one REST API call and cut token costs
Send your prompt to a single REST endpoint and receive a shorter version back as plain text, ready to pass to your model.
The vendor reports up to 40% lower LLM input cost, with a worked example showing a 45% reduction on a sample prompt.
Copy-paste examples are provided for curl, Python, JavaScript and C#, so integration takes minutes rather than days.
Wrap sections in tags to exclude them from compression or to set a specific compression ratio for that block.
Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context.
Offers powerful parallel agentic workflows and dedicated IDE tools, but with less focus on proprietary enterprise codebase context.
Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos.
Streamlines cloud-based full-stack app building and deployment from natural language, but less tailored for large legacy enterprise repos.
Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration.
Integrates directly into VS Code as a daily coding editor, but lacks enterprise-wide multi-agent SDLC orchestration.
Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation.
Focuses on spec-driven engineering and automated verification from AWS, whereas Augment targets broader multi-agent SDLC automation.
Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows.
Operates as a fully autonomous software engineer tackling complex tickets independently, whereas Augment focuses on developer-in-the-loop workflows.
Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling.
Delivers a terminal-first workflow optimized for open-weight models, but offers less graphical enterprise management tooling.
Free / Open-sourceProvides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup.
Free / Open-sourceProvides an open-source agent development environment running parallel CLI coding agents, but requires manual configuration and setup.
SpecialistGenAI-native end-to-end QA agent that plans, writes and heals tests in plain language
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines.
Provides a fast AI-native IDE experience with deep project understanding, but lacks advanced enterprise context engines.
Free / Open-sourceCut AI agent token costs with recoverable context compression and smart model routing
Free / Open-sourceCut AI agent token costs with recoverable context compression and smart model routing
Free / Open-sourceOpen-source AI memory that reasons, not just stores
