Engineering & Product Acceleration
Design, Build, and Scale Products Faster with AI
GigaRev helps product and engineering teams move from idea to production faster and more cost-effectively by combining senior engineers with AI copilots and automation.
The difference between winning and losing in product development often comes down to speed. But speed without quality creates technical debt that slows you down later. The Engineering & Product Acceleration engine combines senior engineering expertise with AI-powered tools to help you move faster without compromising on quality.
The Problem
Capacity Constraints
Your engineering team is the bottleneck. The product roadmap is packed, but delivery keeps slipping because there aren't enough hands.
Slow Validation
Prototyping takes weeks, validation takes months. By the time you learn something doesn't work, you've already invested heavily.
Deployment Risk
Shipping to production is scary. Every release feels like it might break something, so you ship less often.
Tech Debt Spiral
You're moving fast, but the codebase is getting harder to work with. Every new feature takes longer than the last.
Scaling Struggles
Finding and ramping senior engineers takes forever. When you do hire, it takes months for them to become productive.
Why It Matters
The companies shipping fastest aren't just hiring more engineers—they're augmenting their teams with AI at every stage. From code generation to testing to deployment, AI copilots are multiplying developer productivity by 2-3x. The question isn't whether to adopt AI-augmented development, but how quickly you can make the transition.
Components
GenAI Velocity Workshops
High-impact working sessions that identify AI opportunities and create actionable plans.
- 2-day intensive workshop format
- SDLC bottleneck mapping
- 30/60/90-day execution blueprint
- AI governance & guardrails design
Rapid Prototyping
Time-boxed engagements that validate ideas before major investment.
- 1-3 week prototype sprints
- Clickable or working prototypes
- AI-assisted design exploration
- Feasibility & risk assessment
Experimentation & Validation
Systematic approaches to testing hypotheses and making data-driven decisions.
- Experiment backlog prioritization
- A/B testing implementation
- AI-generated experiment variants
- Ship/iterate/kill decision frameworks
Prototype-to-Production
Bridge the gap from validated prototype to production-ready code.
- Production architecture design
- Secure coding & observability
- Existing stack integration
- AI-assisted refactoring & testing
Outsourced PODs
Augmented teams that embed with your organization and transfer knowledge.
- Cross-functional team augmentation
- AI copilots in daily development
- Standardized engineering practices
- Full knowledge transfer & handover
Our Methodology
- Discovery: Understand current state, bottlenecks, and opportunities
- Architecture: Design solutions that fit your stack and scale
- Build: Implement with AI-augmented development practices
- Test & Deploy: Comprehensive testing and confident deployment
- Transfer: Full knowledge transfer to your team
Results
- 2.7x Dev Velocity - Increase in feature delivery speed
- 73% Faster to Production - Reduction in prototype-to-production time
- 45% Cost Reduction - Lower development costs through AI assistance
- 89% Test Coverage - Automated test coverage for AI-assisted codebases
Outcomes
- Dev Velocity: Ship features faster with AI-augmented development
- Time-to-Market: Get from idea to production in weeks, not months
- Cost Efficiency: More output per engineering dollar
- Quality: Better code quality with automated testing
Industries Served
SaaS, FinTech, HealthTech, Enterprise Software, AI/ML Companies
Book a Strategy Call to learn how the Engineering & Product Acceleration can transform your go-to-market operations.