Amazon Net Companies (AWS) on Tuesday mentioned that it was making its generative AI-powered coding assistant Amazon Q Developer usually out there.
Launched because the evolution of Amazon CodeWhisperer at AWS re:Invent in November, Amazon Q will compete with rival choices reminiscent of GitHub Copilot, Gemini Code Help, and IBM’s Watsonx Code Assistant, AWS mentioned.
The generative AI-based coding assistant can carry out duties reminiscent of producing code, testing code, upgrading purposes, troubleshooting purposes, performing safety fixes, and optimizing AWS sources, the corporate added.
“Q additionally has a strong customization functionality that securely leverages a buyer’s inner code base to offer extra related and helpful code suggestions. With this functionality, Q is an professional in your code and gives suggestions which are extra related to avoid wasting much more time,” Mai-Lan Tomsen Bukovec, vp of expertise at AWS, mentioned.
The cloud companies supplier additionally claimed that the coding assistant has a comparatively excessive code acceptance charge with the BT Group and the Nationwide Australia Financial institution, which have accepted 37% and 50% of Q’s code strategies respectively. Different clients of the AWS coding assistant embody Toyota and BlackBerry.
Amazon Q Developer will get Java conversion skill
The commonly out there model for Amazon Q Developer additionally comes with the flexibility to transform outdated Java code to a more recent model.
“Of their built-in improvement environments (IDE), builders merely ask Amazon Q to ‘remodel’ their challenge and the agent analyzes utility supply code, generates new code within the goal language or model, executes assessments, and completes all code adjustments,” Bukovec mentioned.
A five-person workforce at Amazon used Q to improve greater than 1,000 manufacturing purposes from Java 8 to Java 17 in simply two days in distinction to earlier improve cycles of two days per utility, the vp mentioned.
The power to transform .NET code to assist enterprises transfer from Home windows to Linux is anticipated to be added quickly.
Amazon Q Developer, in keeping with the corporate, will be accessed through the AWS administration console by choosing Q from the menu. The coding assistant additionally can be utilized through Slack or improvement environments reminiscent of Visible Studio Code and JetBrains IDEs.
So as to lengthen entry for the coding assistant, the general public cloud companies supplier has developed integrations with the likes of Datadog, Wiz, and GitLab Duo.
Builders can also join Q to GitHub through an information connector, the corporate mentioned.
Amazon Q Developer places Brokers to work
Amazon Q Developer additionally comes with one other functionality, dubbed Brokers.
These bots can autonomously carry out duties starting from implementing options, to documenting and refactoring code, to performing software program upgrades, AWS mentioned, including that builders can ask Q to implement an utility characteristic and the agent will analyze their current utility code and generate a step-by-step implementation plan.
Additional, builders can collaborate with the agent to evaluate and iterate on the plan earlier than the agent implements it, connecting a number of steps collectively and making use of updates throughout supply recordsdata, code blocks, and take a look at suites.
Amazon Q Developer pricing
AWS is providing a free tier for Amazon Q Developer alongside a professional tier that prices $19 per 30 days per consumer.
The free tier places a restrict of fifty interactions per 30 days on chatting, debugging code, and testing, and permits 5 acceleration duties month-to-month through Brokers. The professional tier places no limits on chatting, debugging, and testing utilization, and permits 30 accelerations month-to-month.
The free tier additionally imposes a restrict of 1000 strains of code month-to-month for upgrading apps with the agent for code transformation. The professional tier permits upgrades of 4000 strains of code month-to-month.
And whereas the free tier permits 50 challenge scans per 30 days to examine for safety vulnerabilities, the professional tier permits 500 scans per 30 days.
The professional tier additionally gives limitless AWS account useful resource inquiries and the flexibility to simplify question authoring with generative SQL.
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