Fragmented team workflow
No standardized way to use AI across teams, making it hard to scale or manage consistently.
→ Difficult to scale or manage
Haposoft embeds AI directly into every step of building software, from planning and coding to testing. Your team becomes truly AI-native engineers.
40-50%
Faster delivery per feature
30%
Fewer production bugs
2-3x
Management efficiency
Current challenges
Many teams start using AI quickly. Turning that into dependable delivery improvements is much harder without a shared process.
No standardized way to use AI across teams, making it hard to scale or manage consistently.
→ Difficult to scale or manage
AI output varies by developer, leading to quality and consistency risks across the team.
→ Risk in delivery quality
No clear tracking of progress or cost, making it hard to manage projects with confidence.
→ Hard to manage projects confidently
Our solution
We move teams from fragmented AI usage to a structured workflow across planning, implementation, testing, and delivery.
AI-native Engineers
Developers trained to work productively with AI, not just use AI chat tools.
AI as a team member
AI works as a full team member, not just a disposable assistant.
Standardized platform
CafeKit plus Hapo AI Hub for shared specs and consistent quality across teams.
You hire AI-augmented developers at 2x performance, or hand us the project and we deliver it with lower cost and stronger control.
AI-Labo
Dedicated Team
Fixed Price
Project Based
3 Core pillars
We focus on fixing the parts of the workflow where time is lost, quality drops, and progress becomes hard to track.
Expected ROI
Real, measurable results from applying an AI-augmented development workflow.
Why Haposoft?
CafeKit - open-source IP, built for AI-powered teams
9+ years - serving the Japanese market
200+ engineers - in structured AI workflows
ISO 9001 + ISO 27001 - security & quality by design
Co-creation - we build WITH you, not just FOR you
AWS Partner - Select Tier Services
40-50%
Faster delivery per feature
30%
Fewer production bugs
2x
Developer productivity (1 dev + 1 AI)
2-3x
Management efficiency
Zero
Context loss between sessions
Our core tools
Our delivery model is grounded in two core assets: CafeKit for spec-driven workflow and Hapo AI Hub for governed AI operations at team scale.
CafeKit
SPEC-DRIVEN DEVELOPMENT
Spec-driven development
CafeKit provides a 6-phase flow from requirements to review, producing traceable artifacts and living documentation across delivery.
Hapo AI Hub
GOVERNANCE & VISIBILITY LAYER
Governance and visibility layer
Hapo AI Hub standardizes agent operations and controls so engineering leaders can scale AI usage with cost visibility and delivery confidence.
CafeKit AI Workflow
Everything starts from a shared spec, keeping work aligned as it moves forward. Every feature ships with: spec.json + requirements.md + design.md + tasks.md + tests.
/hapo:specs
Research requirements, design in EARS format, and generate tasks
/hapo:develop
Execute all work based on predefined tasks and apply rules and code conventions
/hapo:test
Run unit, integration, E2E, and UI testing via Chrome DevTools
/hapo:code-review
Evaluate quality, vulnerabilities, and security issues
/hapo:git
Review content before pushing and prevent exposing sensitive information
/hapo:deploy
Identify platform and deploy code to the target system
Main Components
✓ AI Integration - Claude Code + Antigravity
✓ Spec-Driven - Requirements-first approach
✓ Living Docs - Auto-generated and always updated
✓ Full Traceability - Git-committed specs + code
✓ Automated Testing - Generated from requirements
✓ Team Collaboration - Shared specs, clear handoffs
Interesting Facts
Spec-driven development reduces bugs by up to 40% compared to code-first approaches
Teams using structured workflows ship features 3x faster with 60% fewer revisions
AI-Labo Package
Both models include: shared specs in Git, weekly reports, and human review of all AI output.
Entry
Team size: 1-4 engineers
Most Popular
Team size: 4-8 engineers + QA
Full Suite
Team size: Dedicated (custom)
Start with a free 1-week AI Audit. We assess your current development workflow and show exactly how CafeKit can be embedded into your team from day one.
How to get started?
Free 1-week AI Audit - identify opportunities and define the right workflow for your team.
Review your current workflow and AI usage. Identify bottlenecks across planning, execution, and testing.
1 week - FreeApply the proposed AI workflow to a real use case. Validate impact on delivery speed, quality, and visibility.
1-3 monthsRefine the workflow based on results. Roll out across teams and scale with confidence.
OngoingFAQ
Everything you need to know before starting AI-Augmented Development.
Still have questions? Talk to our team
Most teams use AI as an individual tool. AI-Augmented Development is a structured team workflow where:
Yes. We designed the service to integrate with traditional development, partial AI adoption, or a full AI workflow. Options include:
We start with a free 1-week AI Audit to map your current process before recommending anything.
Quality control is built into the workflow, not bolted on at the end:
After the free 1-week AI Audit you receive a workflow map and bottlenecks. During a 1-3 month pilot you can typically expect:
Hapo AI Hub acts as a unified gateway for all model calls and reduces spend through:
Yes. CafeKit is open source and you are free to try it in your own repository. The CLI enforces a 6-phase spec-driven workflow and works with any codebase.
When you engage Haposoft, you get trained engineers, Hapo AI Hub integration, and a delivery guarantee on top.
