AI Development Consulting

Requirements definition, architecture design, and AI applicability analysis.
The starting point is a free codebase assessment.

When this fits

  • You haven't decided what to apply AI to
  • Your PoC worked, but it isn't progressing to actual use in your operations
  • You want to understand the state of your existing codebase

Free codebase assessment

We analyze risky code, unnecessary dependencies, duplicate implementations, and areas that have become overly complex, then return the findings as a PDF report.
There is no cost at all.
You can make your adoption decision after reviewing the report.

  1. Analysis requestSubmit a request through the form and share a GitHub repository or ZIP file
  2. Access sharingGrant read-only access so we can review the codebase in a secure environment
  3. Code analysisAnalyze duplicate code, unused dependencies, complexity, and pull request practices
  4. Report creationOrganize improvement priorities and prepare a PDF report
  5. Improvement proposal and development supportShare analysis results and support everything from improvement proposals to adoption and development

From finding issues to proposing improvements, we assess your codebase for free.

Free code assessment

  • Assessment time

    About 3 business days

    Delivered as a report

  • Assessment cost

    ¥0

  • Assessment process

    5 steps

    Application, sharing, analysis, report, and improvement proposals

  • Results walkthrough

    30 min

    If requested

We make the risks hidden in your codebase visible

What the analysis reveals

  • Dead code

    Line counts and top files for dead exports and unreachable branches

  • Unused dependencies

    Number of removable libraries and estimated size reduction

  • Duplicate rate

    Top 10 duplicate areas and overall ratio

  • Complexity hotspots

    Functions with cyclomatic complexity (CCN) over 10

  • Merge health

    Number of self-approved pull requests, average reviewers, and hotfix ratio

  • Oversized pull request rate

    Ratio of pull requests over 500 lines (roughly the rate of pull requests too large to review) and expected improvement

  • Reduction estimate

    Estimated reduction in LOC, dependencies, and build time

Deliverables

  • PDF report

    One-page executive summary plus technical details for engineers

  • Raw data (CSV / JSON)

    A dataset your team can use for deeper analysis

  • 30-minute walkthrough meeting

    Only if requested

What we need

  • Read-only access to your GitHub repository or a ZIP upload

  • No advance preparation required

Next steps

Start by telling us about the challenges you want to solve with AI

Toward workplaces where AI is simply part of everyday work.

Discuss Your Challenges