Overview
This service helps your team adopt generative AI in software development (AI-driven development) and sustain it in-house. Beyond tool rollout and generic training, we work on your real development themes in your AWS environment, covering the full cycle from planning to release while building the platform, rules, and team structure. The service is designed around preventing problems by structure: the platform blocks risky operations, procedures are standardized, and the AI explains failures and fixes, so quality stays consistent regardless of experience level.
Service menu (combined to fit your needs):
- Assessment and roadmap: team, skills, process, tools, and quality issues; scope, priorities, and a phased plan.
- AI-driven development platform: GitHub and GitHub Actions with branch protection, automated tests, AI code review, and CI/CD to AWS (IaC, staging checks, approval gates, rollback). Amazon Bedrock assists code review and explains CI failures; Amazon CloudWatch alerts become GitHub Issues with AI-drafted fixes.
- Development standards and AI usage rules: specifications, prompts, verification of AI output, review criteria, and handling of sensitive data.
- Hands-on training on your own development themes using the platform and rules above.
- Co-development and quality gate reviews on real projects, with per-feature development of difficult features.
- Operational adoption: guardrail metrics drive improvement themes and periodic quality gate reviews.
Typical needs: governing AI coding tools such as GitHub Copilot across the organization; taking generative AI PoCs to production; building an in-house development team.
Tools: GitHub Copilot, Claude Code, Amazon Bedrock. AWS usage fees and GitHub or generative AI licenses are billed separately to the customer.
Highlights
- • From assessment to an AI-driven development platform: we assess your current state, define a roadmap, and build a GitHub and GitHub Actions based platform with branch protection, automated tests, AI code review, and CI/CD to AWS, so quality stays consistent regardless of experience level
- • Development standards, AI usage rules, and hands-on training: we standardize how to write specifications, verify AI output, review code, and handle information securely, then run hands-on sessions on your own development themes
- • Co-development, quality gate reviews, and operational adoption: we work alongside your team on real projects, review at quality gates, take on high-difficulty features per feature, and drive continuous improvement using guardrail metrics
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Vendor support
Before purchase, we review your current development team, skills, and process and propose the scope and approach. After purchase, a team with AWS, application development, and generative AI expertise supports you through in-house development planning, platform build, hands-on training, co-development on real projects, quality gate reviews of deliverables, and operating rules. Platform build is delivered against defined deliverables and acceptance criteria; co-development and reviews are run through regular meetings and work reports that share progress and effort. Day-to-day communication is handled remotely through chat and meeting tools such as Microsoft Teams and task management tools such as Backlog. Per-feature development of high-difficulty features is also available.
Contact Information System Support Inc. Website: https://www.sts-inc.co.jp/ Phone: 03-3342-9620 Business Hours: Weekdays 10:00-18:00 (JST)