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AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
Aide helps developers code faster with parallel agents and automated workflows.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
AI test-generation layer for engineering teams using coding agents, producing unit/API tests based on real production traffic.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Parallel Agents for faster coding
- ✦GitHub native integration
- ✦Automated PR workflow
- ✦Smart PR suggestions
- ✦Automatic code reviews
- ✦Real-time progress tracking
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- ✦Generates unit and API tests from real production traffic patterns
- ✦Self-healing test maintenance as code changes over time
- ✦Runs via a single CLI command locally or in CI
- ✦CoverBot to backfill test coverage on existing codebases
- ✦Automated code review comments posted directly on pull requests
- ✦Observability and monitoring for test and coverage trends
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Automating code reviews
- →Generating PRs automatically
- →Improving code quality through continuous improvements
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Catching regressions in PRs generated by AI coding agents
- →Backfilling test coverage on a legacy codebase
- →Monitoring API contracts for breaking changes
- →Safely refactoring code with an automated regression safety net