Claude Code across the entire development cycle.Faster and higher quality, together with AI.
We embed Claude Code and other AI throughout every stage of the development lifecycle — from requirements and design to implementation, testing, and operations. With the right balance between people and AI, we raise speed, cost efficiency, and quality at the same time.
Wanosoft's AI Development Strengths
It's not just about adopting a tool. AI is part of our whole team's engineering culture, proven in real projects.
Real-World Claude Code Experience
Deep, hands-on experience using Claude Code daily in real projects — from effective prompt design to large-scale refactoring, we put AI to work in practice.
Optimized Speed & Cost
By automating repetitive work and prototyping fast, we shorten lead time. We optimize effort to keep costs down while maintaining high quality.
AI-Backed Quality Assurance
Combining AI code review with automated test generation to catch bugs and vulnerabilities early, avoiding key-person dependency and stabilizing quality.
Context Engineering
We build the mechanisms to convey codebase, coding conventions, and design intent to AI correctly — consistently drawing out reliable results.
Safe Use of AI
Protecting your confidential information is our top priority. We strictly follow internal AI-usage guidelines you can trust.
How AI Powers the Entire Development Cycle
At each stage we clearly split the roles of Claude Code (AI) and people: AI handles repetitive work fast, while people own the decisions and final responsibility for quality.
Requirements & Analysis
Ideation & structuring- Rapidly read existing docs and code and summarize key points
- Auto-draft specifications and user stories
- Flag gaps and ambiguities and raise clarifying questions
- Define business challenges and priorities
- Align with the client and make the final call on requirements
- Review AI's summaries and decide the direction
Design & Architecture
Comparing design options- Propose multiple architecture options with trade-offs
- Generate first drafts of API and DB schema designs
- Prepare comparison material for technology choices
- Decide the final design given non-functional needs and constraints
- Make the technology-selection decisions
- Review and approve the design
Implementation
AI pair programming- Generate, complete and refactor code with Claude Code
- Implement consistently, aligned with the existing codebase
- Draft boilerplate and test code
- Provide and review specs and acceptance criteria
- Verify complex logic and critical decision points
- Give final approval and merge the code
Testing & Review
Automated quality checks- Auto-generate unit and E2E tests
- Detect bugs and vulnerabilities with AI code review
- Surface easily-missed edge cases
- Set test perspectives and quality standards
- Judge the validity of findings and decide fixes
- Approve the final quality
Deploy & CI/CD
Release automation support- Generate CI/CD configuration and IaC code
- Auto-create release notes
- Check for misconfigurations and diffs
- Plan releases and decide go/no-go
- Manage production environments, permissions and secrets
- Approve the deployment
Operations & Maintenance
Continuous improvement- Fast root-cause analysis of logs and incidents
- Propose refactoring and improvement ideas
- Generate documentation updates
- Prioritize incident response and make decisions
- Decide which improvements to adopt
- Manage security and operational policies
Principles for Using AI the Right Way
To maximize AI's power while protecting quality and safety, we hold to three principles.
People Hold Final Responsibility
AI output is always reviewed by experienced engineers. The final call on quality and security always rests with people.
We Design the Context
We build the mechanisms to convey codebase, conventions, and design intent to AI correctly, drawing out consistent results.
We Protect Confidential Data
Protecting your information is our top priority; we strictly enforce guidelines for safe AI usage.
How Does the Value of Offshore Development Change in the AI Era?
“If AI can write the code, is offshore still needed?” Some ask exactly that. The reality is the opposite: AI doesn't diminish the value of offshore development — it redefines and amplifies it. What changes is what you actually pay for.
Not “how many man-months,” but “how fast and how reliably you deliver.” Teams that have mastered AI produce several times the value with far fewer people. We commit to outcomes, not headcount.
In an era where AI generates the bulk of the implementation at high speed, the value of uniquely human judgment — scoping, architecture, review, and the final testing (verification) step — only rises. Experienced engineers engage upstream and own final accountability.
Vietnam's cost advantage hasn't gone away. Multiply it by AI-driven productivity and you get ROI that isn't merely “cheap” or merely “fast,” but both at once.
Anyone can adopt the tools; the difference is in the operating know-how. Having used Claude Code daily on real projects, we extract results faster and more reliably than in-house trial and error.
Our Quality Commitment — the deliverable will match the spec
We never ship the large volumes of AI-generated code as-is. Experienced engineers together with dedicated QA testers rigorously own design, code review, and — most importantly — the final testing and verification step. We take responsibility for guaranteeing that the final deliverable works exactly as the customer requires.
AI makes a strong offshore team even stronger. We aim to be the partner chosen because we maximize outcomes with AI — not the subcontractor chosen merely because we're cheap.
The Value AI Delivers
By embedding AI across the whole development cycle, we deliver tangible outcomes to your projects.
Automating repetitive work and rapid prototyping dramatically shorten lead time.
We optimize effort to compress development cost while maintaining high quality.
AI review and automated testing enable early bug detection and stable quality.
