Deliver 4.5× Faster with AI-Augmented Engineering Company
Build and scale production-grade software in weeks, not months—powered by AI and 12+ years of senior engineering expertise. Validate your product faster and secure funding with confidence.
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Why Choose AI-Augmented Engineering with Techstack
12+ years of engineering expertise, 70+ shipped products, and unicorn-scale experience — now amplified by orchestrated AI agents.
Speed to market
Ship production-ready MVPs in 6 weeks, pilot MVPs in 1 month. Deliver features 4.5× faster without adding headcount or cutting quality.
Lower cost per feature
Senior-led teams and AI accelerators eliminate rework—delivering 77% lower cost per feature compared to traditional development.
Production-grade quality from day one
100% release validation via automated tests and quality gates. Standardized architecture and built-in QA ensure long-term stability.
Scalable delivery model
Scale through efficient execution, not headcount. Our model requires 30% fewer people than traditional delivery while maintaining high velocity.
End-to-end ownership
From discovery and PRDs to production code, senior engineers take responsibility for outcomes. One team, one goal—your success.
Human-governed, AI-executed delivery
AI accelerates execution within architect-defined guardrails. Senior engineers validate all decisions for quality and strategic alignment.
The New Era of Software Delivery: How We Work
Get production-ready software in weeks, not months. Senior cross-functional teams use proven accelerators and AI to eliminate delays while maintaining enterprise quality.
Discovery accelerators
Validate your product direction in 2-4 weeks with AI-assisted scoping and proactive risk identification—guided by product leadership.
Proactive communication
AI-assisted scoping
AI-supported risk identification
PRD generation support
Automated work decomposition
Architecture Rollout accelerators
Launch with enterprise-grade infrastructure built by senior engineers. Reusable patterns and CI/CD automation eliminate months of foundational work.
Infrastructure baseline
Architecture patterns & core components
CI/CD setup
Monitoring & observability stack
Error management
Product Development accelerators
Ship features 4.5× faster with senior engineers using AI agents to accelerate architecture, quality, and delivery.
AI-accelerated feature delivery
Senior-supervised AI implementation
Continuous quality validation
Rapid iteration and release cycles
Production-ready increments
Get Your Market-Ready MVP in 6 Weeks
From discovery to deployment. Our proven four-phase process combines AI-augmented speed with senior engineering oversight—no quality compromises.
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Proven Speed Without Quality Loss
Scalable, secure, maintainable, and production-ready software—delivered faster than traditional development.
6
weeks
pilot MVP delivery
2–3
× shorter
iteration & feedback loops
100
%
release validation via tests & quality gates
Our Workflow for AI-augmented Engineering
A proven three-phase approach that combines AI efficiency with human expertise
01
Discovery
(High AI leverage ~90%)
We align on business goals, user needs, risks and success criteria
Senior architects define system architecture, constraints and guardrails
AI accelerates research through analysis and edge-case detection
The result:
Validated scope and architecture in 2 weeks
02
MVP development
(Balanced AI leverage ~70%)
AI generates code, tests and documentation under senior oversight
Architects validate each layer and make final decisions
Automated testing plus human QA ensure production readiness
The result:
Production-ready MVP in 6 weeks
03
Growth & Feature Development
(AI leverage 30–50%)
Focus on performance, security, scalability and maintainability
AI used selectively for acceleration and regression prevention
Continuous delivery with demos and metrics tracking progress
The result:
4.5× faster delivery cycles
AI-Augmented Engineering: Real Case by Techstack
Financial literacy app: AI-augmented MVP in 4 weeks
EdTech
Poland
From concept to investor pitch in 4 weeks. We delivered a production-ready gamified financial literacy MVP that validated product-market fit and opened funding conversations.
The product includes parent-controlled tasks, virtual currency, savings goals, achievement mechanics, and a virtual store.
4.5× faster delivery, saving 14 weeks vs. classic development
~77% lower delivery cost
~30% leaner team compared to classic development
20+ functional modules delivered
What Our Clients Say
71
Shipped project
12
years of expertise
5.0
Clutch rating
Mark Beare
Former VP of Research & Development,
Corel Corporation
Our Engagement Model
Ship validated products in weeks with predictable costs and zero surprises.
01
Discovery Phase
(1-2 weeks)
$2,700 – $10,000
Scales with complexity
Validate product–market fit
Define clear scope and priorities
Create a detailed technical roadmap
02
Accelerated MVP
development
$28,000
per a 2-week sprint
Fixed scope, budget, and timeline per sprint
Predictable costs with committed delivery
Enterprise architecture from day one
03
Post-MVP development:
(On demand)
Time & Material
Dedicated team scales with your product
Flex scope as priorities evolve
Includes support and maintenance
Book Your AI-Augmented Engineering Assessment
A 30-minute discovery call to assess where AI can safely accelerate execution, leveraging 12+ years of engineering experience to guide decisions and next steps.
How We Keep AI Under Control
AI is effective when it’s governed. This is how we ensure quality, security, and control.
Book Your AI-Augmented Engineering Assessment
Michael Tkalych
Business Development Manager at Techstack
Build and scale products faster without losing control.
Let’s assess where AI can safely accelerate your engineering.
What’s Next?
01
You’ll receive a confirmation email within 12 hours
02
Meet with Michael to discuss your product, codebase, and goals
FAQ
What is AI-augmented engineering?
AI-augmented engineering is a delivery model where AI supports execution, while senior engineers and architects remain fully responsible for decisions, architecture, and quality.
Unlike pure AI code generation, AI-augmented software engineering keeps humans in control of system design, trade-offs, and long-term maintainability.
How is AI-augmented software development different from traditional development?
In AI-augmented software development, AI accelerates tasks like implementation, validation, and testing, but does not replace engineering leadership.
Traditional development scales by adding people. AI-augmented development scales by improving efficiency — without growing teams linearly.
Is AI-augmented engineering suitable for production systems?
Yes. Our AI-augmented software development services are designed for production-grade systems.
Senior architects define architecture and constraints first, and every AI-generated artifact is reviewed before reaching production.
How do you ensure code quality and security?
As an AI-augmented software development company, Techstack embeds quality control into delivery:
1) senior architects validate architecture and decisions;
2) automated testing is combined with human QA;
3) AI usage is governed by clear rules and thresholds.
This ensures security, stability, and long-term maintainability.
Can you apply AI-augmented development to existing codebases?
Yes. Our AI-augmented development services work for both new products and existing systems.
We assess the codebase first, identify safe AI leverage zones, and apply AI selectively — without rewriting the system or increasing risk.
When should AI not be used in software development?
AI should not be used where it introduces architectural risk, security concerns, or long-term maintenance issues.
That’s why in our AI-augmented software engineering approach, AI usage is intentionally reduced as systems scale, and human decision-making takes priority.