Augment Code records 326,215 monthly visits with +24.1% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Repowise records 29,455 monthly visits with +26.3% growth and Freemium pricing.
Agent orchestration platform for your whole software development lifecycle
One living index of your codebase that AI agents and pull requests can actually read
| Dimension / Metric | | |
|---|---|---|
| Official Domain | augmentcode.com | repowise.dev |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium |
| Monthly Visits | 326.22K (326,215) | 29.46K (29,455) |
| MoM Traffic Delta | +63.41K (+24.1%) | +6.14K (+26.3%) |
| Primary Market & Share | 🇺🇸 United States (26.3%) | 🇮🇳 India (20.6%) |
| Direct Visits / mo | 137.07K | 13.92K |
| User Rating | 4.5 | 4.6 |
| 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.
One living index of your codebase that AI agents and pull requests can actually read
Structure, call edges, git churn, co-change patterns, ownership, test reachability and recorded decisions are mapped once and refreshed on every commit, giving agents and reviewers a single shared source of truth.
Claude Code, Cursor, Codex, VS Code and any MCP client can ask for the callers, owners and tests of a file before editing it, which the vendor benchmarks at roughly a third fewer agent output tokens on large repos.
Every file receives a 1-to-10 score from deterministic markers validated against real bug fixes, with ranked refactoring plans, dead-code findings and cross-file performance issues such as N+1 queries.
One comment per PR names the callers a change reaches, lists changed lines that no test covers, stays silent when the PR is clean and adapts to replies your team writes.
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.
The AI coding agent that turns ideas into shipped software
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.
Cognition's autonomous software engineer that ships real pull requests
The coding agent that learns your coding taste
The coding agent that learns your coding taste
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
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-sourceOpen-source workspace to build, deploy and govern AI agents
AI-native offensive security: continuous red teaming, white-box pentests, and PR review
AI code review and status updates that keep every repo on track
AI code review and status updates that keep every repo on track
