The seniority gap
Vendors quote senior engineers in the proposal, then staff with juniors who require senior rework. Quality suffers; timelines slip.
Our Delivery Method
The Claude Code × Senior Engineer Model
How we deliver more software, faster, at lower cost — without the quality compromises legacy offshore models force on you.
iPlus Solution pairs Claude Code as a high-leverage engineering partner with senior engineers who design the system, write the prompts, and review every output. This is not 'AI-assisted development' as a buzzword — it is a specific operating method that has reshaped how we ship software to clients in Japan, Vietnam, and globally.
3–5×
Faster delivery
30–50%
Lower cost
Senior-grade
Code quality
The Legacy Problem
Why traditional offshore breaks down
The communication tax
Translation layers, ambiguous specs, and async handoffs turn every clarification into a 24-hour round-trip. Velocity dies in the gaps.
The volume trade-off
More headcount means more coordination overhead. After a certain point, adding engineers slows the team down — Brooks's Law in action.
The New Operating Model
How the loop actually runs
Three steps, both ends framed by senior judgment. The middle step is leveraged, not replaced.
Senior Engineer
Architecture & Prompts
Requirements gathering with the client. System design and ADRs. Identifying the right cut of work for AI acceleration vs. human craftsmanship. Writing the prompts — with codebase context, conventions, edge cases, and acceptance criteria — that turn intent into precise instructions.
- Requirements workshops with the client
- System architecture & API contracts
- Architecture Decision Records (ADRs)
- Prompt engineering with codebase context
- Sprint task decomposition
Claude Code
High-Leverage Implementation
Production-grade code, tests, and migrations generated from senior-written specifications. Operated as a tool with full repository context, project conventions, and active guardrails. Multi-file refactors and pattern-consistent implementations that would take days of manual typing — completed in hours, traceable through the prompt log.
- Feature implementation against acceptance criteria
- Unit & integration test generation
- Database migrations & schema changes
- Multi-file refactors with consistent patterns
- Documentation drafts (ADRs, runbooks, API docs)
Senior Engineer
Review & Hardening
Every line generated by Claude is reviewed, refactored, and stress-tested by the same senior engineer who wrote the spec. Edge cases hardened, security checked, performance profiled, conventions enforced. No code ships without a human sign-off — no exceptions, no junior backstops, no 'we'll fix it next sprint.'
- Line-by-line code review by the spec author
- Edge case & error path validation
- Security review (OWASP, secrets, authz/n)
- Performance profiling for hot paths
- Convention enforcement & refactoring
What We Do Not Do
The honest boundaries of our approach
Selling AI development without the limits creates broken trust. Here's where the model stops.
We do not ship unreviewed AI output
If a senior engineer hasn't read it line by line, it doesn't merge. No batch-approving generated PRs, no rubber-stamping.
We do not use AI for irreversible decisions
Production database migrations, secret rotations, deployments, and destructive operations are executed by humans — with AI assisting on the plan, never on the trigger.
We do not send your code to public training pipelines
Claude Code runs under our enterprise contract. Your repositories are isolated, not used for training, and accessible only to the engineers assigned to your project.
We do not replace senior engineers with AI
Engineers are paid more, not less, in this model. AI multiplies their leverage; it does not substitute for their judgment, taste, or accountability.
How the Loop Runs
One operating loop — from new project to bug fix
Seven phases that scale with the engagement. New projects spend more time in setup and design; features and bug fixes spend more time in implementation. The discipline at each phase stays constant.
- 01
Setup
Bootstrap & Context
We start from shared context, never from a blank prompt. New projects: initialize the git repository, configure Claude project settings (~/.claude/settings.json plus the Skills, Agents, MCP servers, and Hooks the project needs), then run /init so Claude reads the requirement document and writes the initial CLAUDE.md. For existing codebases, the senior loads CLAUDE.md and recent ADRs before any prompt is written.
- 02
Design
Architecture & Design Decisions
Senior engineers use Claude as a design partner — not a code generator — to produce UI/UX options, function specifications, and infrastructure choices. Output lands in CLAUDE.md and a set of markdown design documents that live alongside the code under version control. For features and fixes, design is scoped to the change at hand: a focused ADR for non-trivial decisions, nothing more.
- 03
Plan
Detailed Implementation Plan
A detailed implementation plan is generated from the design docs — phased, with explicit acceptance criteria per phase, dependencies mapped, and risks called out. New projects produce a multi-phase master plan; features get a single-phase plan; bug fixes get a one-paragraph plan plus precise reproduction steps.
- 04
Build
Phased Implementation
Claude Code executes one phase at a time against the plan. Each phase produces a reviewable diff covering feature code, tests, migrations, and documentation. Environment keys, secrets, and external configuration are added to .env by the senior as each phase requires them — never by AI.
- 05
Verify
Senior Verification Loop
The senior who owns the spec walks through the resulting UI and exercises every function against the requirements and design docs. Gaps are corrected by feeding precise observations back to Claude — 'this confirmation modal should fire before the destructive action, not after' — and the cycle repeats until implementation matches spec exactly. This is the step most vendors skip; it is what defines our output quality.
- 06
Test
Production-shaped Testing
Synthetic test data finds roughly 60% of issues; production-shaped data finds the remaining 40%. We run end-to-end tests against anonymized real datasets — or fixtures modeled on real distributions when privacy requires. Edge cases, performance under load, and integration boundaries are exercised here, not the morning before release.
- 07
Release
Release & Watch
Release is executed by humans — deployments, migrations, secret rotations. Post-release verification covers smoke tests, monitoring alert tuning, and a 24-hour watch window during which the senior who owns the change is the first responder for any related issue.
Security & IP
Trust boundaries you can audit
Enterprise Claude Code contract
Your code runs under our enterprise contract with Anthropic. No training on your data, no sharing across customers, full audit trail.
VPN-only repository access
Senior engineers connect through corporate VPN to access your code. No code on personal devices. Session logs retained per your retention policy.
IP assignment from day one
All code, prompts, model outputs, and derivative artifacts are assigned to you as work-for-hire. NDA and IP clauses signed before any code is written.
Optional ISO 27001 controls
For regulated workloads (financial services, healthcare, government), we operate under ISO 27001-aligned controls with quarterly audits available on request.
Ready to see it in action?
Let's run your next sprint this way
Tell us about the work. We'll show you what a Claude Code × Senior Engineer sprint looks like for your specific stack and scope — typically within one business day.