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Amazon Q Developer Services

CodesClue helps engineering teams adopt Amazon Q Developer, the generative AI assistant from AWS, safely and productively.

  • A rollout plan, pilot first
  • Guardrails and human review on every change
  • Measured results you can report

Usually replies within one business day. No obligation.

Team pointing at a cloud dashboard on a monitor

Senior engineers on every projectTeams in India, the US and Germany

5 facilities monitored live AirShield project

Trusted by 50+ companies in the US, the UK, Germany and India

  • ArcelorMittal
  • NextLifeBook
  • HUSK
  • Invoice Minds
  • Free Food Labels
  • Mazady
  • Green Releaf
  • Ride Reach
  • TLF
  • Blueberry Pie
  • Mr Bobby's
  • Verkoop
  • HEOS
  • TracknTake

Amazon Q Developer adoption services for engineering teams

Buying AI coding licences is easy; getting consistent value from them is not. Our Amazon Q Developer services cover the full rollout, from a pilot with one team to organisation-wide use with measured results.

We set it up across your IDEs and AWS accounts, connect it to your codebase and pipelines, and put the guardrails in place that security and legal teams ask for. Then we help your developers use it well: for writing and reviewing code, generating tests and documentation, upgrading legacy Java and .NET applications, and answering questions about your AWS environment.

We configure Amazon Q Developer Pro with IAM Identity Center, decide which repositories and data it may use, and set the policies that keep your code and data within your control.

We integrate it into the IDEs, command line and CI/CD workflows your developers already use, and customize it with your internal libraries so suggestions follow your conventions.

We measure adoption and impact, such as acceptance rates, time saved on upgrades and test coverage, so you can see what the investment returns.

  • Readiness Assessment & Pilot

    We review your repositories, languages, AWS accounts and security requirements, then run a time-boxed pilot with one team to prove value before a wider rollout.

  • Setup & Identity Configuration

    Amazon Q Developer Pro configured with IAM Identity Center, user groups, license management and account-level settings, documented so your team can maintain it.

  • IDE, CLI & Pipeline Integration

    Rollout to VS Code, JetBrains IDEs and the command line, and integration with your code review and CI/CD pipelines.

  • Customization With Your Codebase

    Customizations that connect Amazon Q to your internal libraries and APIs, so suggestions match your frameworks, naming and patterns.

  • Code Transformation & Upgrades

    Use of Amazon Q agents to upgrade Java versions and port .NET Framework applications, with our engineers reviewing, testing and completing every change. See our application modernization services.

  • Security, Privacy & Governance

    Policies for data use, reference tracking and code scanning, aligned with your security and licensing rules, and security scans added to the development workflow.

  • Test & Documentation Generation

    Workflows that use Amazon Q to generate unit tests, explain legacy code and keep documentation current, reviewed by people before anything merges.

  • AWS Operations Assistance

    Setting up Amazon Q to answer questions about your AWS resources, costs and errors, so engineers troubleshoot faster in the console and chat tools.

  • Developer Training & Enablement

    Hands-on workshops and playbooks that teach prompting, review habits and the tasks where the assistant helps most, tailored to your stack.

  • Adoption Metrics & Optimization

    Dashboards for usage and acceptance, regular reviews of what works, and adjustments to licences, customizations and policies as usage grows.

Recent projects we've delivered

Products our engineers have built and run on AWS, where the same delivery discipline applies to AI-assisted development.

  • 5 facilities monitored live

    AirShield

    Real-time air quality monitoring system across multiple facilities, connects sensors, tracks PM2.5, COâ‚‚, and AQI live, and triggers automated ventilation responses without human intervention.

  • 94% on-time delivery

    TracknTake

    End-to-end shipment tracking and delivery management, 1,200+ packages tracked daily with real-time status updates, automated alerts, and 94% on-time delivery rate.

  • Live transaction tracking

    EmberPay

    Secure multi-currency payments platform with real-time transaction tracking, automated reconciliation, and a treasury console built for finance teams.

See all 17 case studies

Our commitment on every project

We measure success by how your developers work six months after rollout, not by licences assigned. Clear communication, milestone-based delivery and honest reporting on what the assistant does and does not do well keep the program on track.

  • Clear communication
  • Measured adoption
  • Documented guardrails
  • Post-rollout support
  • Long-term partnership

Communication was key throughout. New features and updates were handled with care and delivered promptly. They always understood what we were asking for and delivered accordingly.

Kasim CEO, Snakz Rated 4.9 on GoodFirms (opens in a new tab) Rated 5.0 on Clutch (opens in a new tab)

How we roll out Amazon Q Developer

We treat an AI assistant like any other engineering tool: introduced with a plan, measured against goals, and governed so it is safe to use on real code.

Product team around a table with roadmap and sprint boards
  1. A Rollout Plan, Not Just Licences

    Pilot, success measures and rollout order are agreed before seats are assigned.

    Each phase ends with a review of results and next steps.

  2. Guardrails From Day One

    Identity, data-use settings and code-scanning policies are configured before developers start.

    Security and legal teams get documentation they can sign off.

  3. Fits Your Existing Workflow

    Developers keep their IDEs, repositories and pipelines.

    Amazon Q is added where it helps: authoring, review, testing and upgrades.

  4. Human Review on Every Change

    AI-generated code goes through the same review and testing as any other change.

    Our engineers complete and verify transformation work before it ships.

  5. Measured Results

    Usage, acceptance and time saved are tracked in a simple dashboard.

    Quarterly reviews show where to extend use and where to hold back.

Business problems we solve

Teams that try AI coding assistants without a plan usually see uneven use, security concerns and no clear return. We solve the problems that stop Amazon Q Developer from paying off.

  • Licences Bought, Little Used

    Without setup, training and examples, most developers try the assistant once and go back to old habits. We run enablement and track adoption until usage is part of daily work.

  • Security and IP Concerns

    Leaders worry about code leaving the company and about licensed code appearing in suggestions. We configure data use, reference tracking and scanning, and document the controls.

  • Legacy Upgrades That Never Get Scheduled

    Old Java and .NET versions stay in production because upgrades are slow and risky. We use Amazon Q transformation agents with engineer review to make them routine.

  • No Way to Measure Value

    Without metrics, AI tooling is a line item that is hard to defend. We set up usage and outcome measures so you can see the return and decide where to invest.

What you gain from a long-term partner

  • AWS and Engineering Expertise

    Engineers who build on AWS every day and know both the platform and the codebases Amazon Q works on.

  • Faster, Safer Rollout

    A proven sequence of pilot, guardrails, enablement and scale that avoids the common false starts.

  • Delivery Capacity When You Need It

    Our developers can complete the upgrades and refactoring Amazon Q starts, so work does not stall at the review stage.

  • Focus on Your Product

    We run the rollout, training and measurement while your team keeps shipping features.

Presenter showing charts to a team with laptops

Technologies we work with

We work with modern, scalable, and industry proven technologies across frontend, backend, mobile, cloud, and database systems. Our team selects the right stack based on your business requirements, performance expectations, and future scalability needs. From web and mobile frameworks to cloud infrastructure and DevOps tools, we build solutions that are secure, flexible, and growth ready.

Cloud

  • AWS
  • Microsoft Azure
  • Google Cloud Platform
  • Docker
  • Kubernetes
  • Terraform
  • Jenkins
  • Ansible

Back-End

  • Node.js
  • Ruby on Rails (RoR)
  • Laravel
  • Django
  • Java
  • Python
  • PHP
  • Express.js
  • .Net Core
  • NestJS

Database

  • MongoDB
  • MySQL
  • PostgreSQL
  • SQLite
  • Firebase
  • Redis

IoT

  • AWS IoT Core
  • Azure IoT Hub
  • Google Cloud IoT Core
  • IBM Watson IoT
  • Raspberry Pi
  • MQTT
  • Arduino
Other stacks we work with (9)

Front-End

  • React.js
  • Next.js
  • Angular
  • Vue.js
  • Nuxt.js
  • HTML
  • CSS
  • Bootstrap
  • JavaScript
  • TypeScript
  • Tailwind CSS

Mobile Development

  • Flutter
  • iOS
  • Android
  • React Native

UI/UX

  • Figma
  • Illustrator
  • Photoshop
  • Sketch

Business Intelligence

  • Tableau
  • Power BI

Automation

  • UiPath
  • Power Automate
  • Automation Anywhere

AI & ML

  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-learn
  • OpenCV
  • AWS AI Services
  • IBM Watson
  • Microsoft CNTK
  • NLTK
  • Evidently AI

AI/ML Tools

  • AI Agents
  • Jupyter
  • Anaconda
  • PySpark
  • Caffe2
  • GitHub Copilot
  • ChatGPT

AI & LLM Models

  • GPT-4
  • GPT-3.5
  • GPT-3
  • LLaMA 3
  • LLaMA 2
  • DALL·E
  • PaLM 2
  • Whisper
  • Bard
  • Midjourney
  • Claude
  • BERT

Testing & QA

  • Selenium
  • JUnit
  • TestNG
  • Cucumber
  • Postman
  • JMeter
  • SonarQube
  • TestRail
  • Cypress

Our structured Amazon Q Developer approach

  1. Assess & Plan

    We review repositories, languages, accounts and policies, choose a pilot team and agree the metrics that will define success.

  2. Configure & Secure

    We set up Amazon Q Developer Pro, identity, data-use settings, customizations and scanning, and document every control.

  3. Pilot & Enable

    The pilot team works with the assistant on real tasks, supported by workshops and playbooks; we measure results each week.

  4. Scale & Optimize

    We roll out to more teams in phases, add transformation and test workflows, and review usage and value every quarter.

Why choose CodesClue for Amazon Q Developer?

CodesClue combines AWS experience with day-to-day software delivery. We know where an AI assistant saves real time, where it needs a human in the loop, and how to roll it out so developers adopt it and security teams trust it.

Benefits you get by partnering with us

  • AWS and generative AI experience
  • Security and governance built in
  • Hands-on developer training
  • Human review on AI-generated code
  • Measured adoption and results
  • Engineers who can finish the work
  • Flexible engagement models
  • Support after rollout
  • Long-term technology partnership
Four team members in a planning session with a laptop and printed reports

Engagement models for Amazon Q Developer

Engagement models that match how far along you are with AI-assisted development.

  1. Fixed-Scope Pilot

    A defined pilot with one team: setup, guardrails, training and a results report, at an agreed price and timeline.

  2. Rollout Program

    A phased rollout across teams with enablement, customization and monthly reporting, billed monthly.

  3. Transformation Squad

    Engineers who use Amazon Q transformation agents to upgrade and modernize your applications, then review, test and deliver the changes.

Amazon Q Developer across industries

We deliver Amazon Q Developer for industries with very different data, regulations and workflows. Our cross-industry experience lets us apply proven approaches quickly while respecting what makes each sector different.

Media and entertainment

Cloud-Powered Digital Media Platforms

CodesClue delivers advanced cloud computing services that help media organizations manage high-volume content delivery, audience analytics, and digital streaming platforms. Our scalable cloud architecture ensures performance during peak traffic and global content distribution.

  • Cloud-based video streaming infrastructure
  • Scalable media storage and content delivery networks
  • Real-time audience analytics platforms
  • High-performance cloud deployment solutions for media applications

Software for media and entertainment

Amazon Q Developer FAQs

Want to know more about CodesClue? These Frequently Asked Questions might help.

Talk to an engineer

Get a free consultation
What is Amazon Q Developer?

Amazon Q Developer is the generative AI assistant from AWS for software development. It suggests and explains code in the IDE and command line, generates tests and documentation, helps upgrade Java and .NET applications, and answers questions about AWS resources.

What does CodesClue do for Amazon Q Developer?

We plan and run the rollout: readiness assessment, setup and identity, IDE and pipeline integration, customization with your codebase, security guardrails, developer training, code transformation work and adoption measurement.

Is our code safe with Amazon Q Developer?

With the Pro tier, AWS states that your content is not used to train its models. We configure identity, data-use settings, reference tracking and scanning to match your policies, and document the setup for your security team.

Can Amazon Q upgrade our legacy applications?

Its transformation agents can automate much of a Java version upgrade or a .NET Framework port. Our engineers review, test and complete the changes so the result is production-ready.

How long does a rollout take?

A pilot with one team usually takes four to six weeks, including setup and training. Organisation-wide rollout follows in phases based on the pilot results.

Do you work with startups as well as enterprises?

Yes. We help small teams get started quickly and help larger organizations roll out with the governance they need.

Where is your team based?

Our team is based in India, the United States and Germany, which gives you working-hours overlap across Asia, Europe and North America.

How do you price projects?

Three ways, matching our engagement models: a dedicated team billed monthly, staff augmentation where you add individual engineers to your own team, or a fixed-scope project with an agreed timeline and budget. The first consultation is free; we scope your requirements there and quote after it.

How do you handle security and compliance?

Security is built into every engagement: data encrypted in transit and at rest, role-based access control, logging and monitoring, and audit-ready configuration. For regulated industries we design to the relevant standard, for example HIPAA-ready systems for healthcare. We sign an NDA before any engagement, so your systems and data stay confidential from the first conversation.

Tell us about your project

Share your requirements and an engineer will reply within one business day with next steps.

  1. Answer two quick questions and tell us about the project.
  2. We read it and reply with questions or a plan.
  3. You get a written estimate with milestones before anything is signed.

No obligation. We reply within one business day.

    Build together with CodesClue