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ease
features
design
support

Average Ratings 0 Ratings

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ease
features
design
support

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Description

Amazon Q Developer is an advanced AI assistant built for professional developers, combining coding intelligence with deep AWS expertise. It’s designed to handle every stage of development—from writing and refactoring code to performing upgrades and automating documentation. Integrated with major IDEs and the AWS Management Console, it empowers developers to code faster and operate smarter using secure, context-aware assistance. Its agentic automation can autonomously implement features, test applications, and perform large-scale migrations like .NET to Linux or Java 8 to Java 17 in minutes. Developers can chat directly with Amazon Q inside Slack, Microsoft Teams, GitHub, and GitLab, where it provides architectural recommendations and incident resolution guidance. The tool also supports CLI autocompletions and AWS resource management to streamline workflows from the terminal to the cloud. Offering enterprise-grade access controls and IAM integration, it ensures that organizational data and permissions remain protected. Available on the AWS Free Tier, Amazon Q Developer enables up to 50 monthly AI interactions and 1,000 lines of code transformation at no cost, helping teams start building smarter right away.

Description

Tembo is an intelligent AI teammate that automates engineering workflows by handling error detection, code crafting, and database optimization so developers can focus on building new features. It continuously monitors production systems and automatically converts errors into pull requests, streamlining the debugging process without manual intervention. Tembo also enhances database performance by finding and fixing slow queries and missing indexes in PostgreSQL and Supabase environments. Through integrations with popular platforms like GitHub, GitLab, Jira, and Linear, Tembo transforms tickets and error logs into working code, accelerating sprint planning and issue resolution. Its code explorer analyzes your entire codebase to identify technical debt, security vulnerabilities, and refactoring opportunities, helping maintain code quality. Upcoming features include backlog prioritization and personalized solutions that align with your team’s culture and practices. Users report significant gains in engineering velocity and productivity after adopting Tembo. Setting up the platform is quick and easy, enabling teams to automate routine tasks within minutes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
GitHub
GitLab
AWS IAM Identity Center
AWS Systems Manager
Amazon SageMaker Unified Studio
Android Studio
Code With Me
DataGrip
Eclipse IDE
IntelliJ IDEA
JetBrains Aqua
Jira
Kubernetes
PostgreSQL
PyCharm
RubyMine
RustRover
Sentry
Writerside

Integrations

Amazon Web Services (AWS)
GitHub
GitLab
AWS IAM Identity Center
AWS Systems Manager
Amazon SageMaker Unified Studio
Android Studio
Code With Me
DataGrip
Eclipse IDE
IntelliJ IDEA
JetBrains Aqua
Jira
Kubernetes
PostgreSQL
PyCharm
RubyMine
RustRover
Sentry
Writerside

Pricing Details

$19/month
Free Trial
Free Version

Pricing Details

$50
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/q/developer/

Vendor Details

Company Name

Tembo

Country

United States

Website

tembo.io

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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