AI-augmented Software Development Company
We help companies build and scale software up to 4.5× faster, ensuring production-grade quality and maintainability.
.avif)
How AI-Augmented Engineering Transforms Software Delivery
Before AI-augmented engineering
Delivery requires linear headcount growth
Speed depends on hiring and long onboarding
Costs scale linearly with complexity
Iteration is slow, delaying validation
Knowledge lives in individuals, increasing risk
After AI-augmented engineering
Delivery scales without linear headcount growth
Speed comes without additional hiring, with architects in control
Cost per feature is reduced without quality trade-offs
Iteration is fast, enabling validation in weeks
Knowledge is embedded in systems, not individuals
AI-Augmented Product Development Service
Structured software development for teams that need faster, more efficient delivery without losing architectural control or predictability.
Faster, more efficient software delivery
Product development is accelerated through AI agents integrated across engineering, QA, SDLC management, and UI/UX, while efficiency, quality, and predictability are ensured by 12+ years of delivery experience.
Fixed-price, fixed-duration delivery
Scope, price, and timeline are defined upfront and actively governed throughout execution to keep delivery aligned and under control from start to finish.
Continuous delivery with visible progress
Production-ready software is delivered continuously.
Progress is visible through deployed features and measurable results.
Engineering ownership built into the model
Senior engineers own architecture, delivery decisions, and technical outcomes end-to-end, ensuring consistency, quality, and long-term maintainability.
AI-Augmented Engineering: Real Case by Techstack
Financial literacy app: AI-augmented MVP in 4 weeks
EdTech
Poland
We built a production-ready MVP for a gamified financial literacy product for children, designed to validate product-market fit and investment readiness under tight time constraints.
The product includes parent-controlled tasks, virtual currency, savings goals, achievement mechanics, and a virtual store.
Using AI-augmented delivery governed by senior engineers, we delivered the MVP in 4 weeks, ensuring production-grade quality and long-term maintainability.
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
Team setup: 1 Architect, 1 Middle Developer, 1 QA, 1 Designer, 1 PM, AI agents
What Our Clients Say
Mark Beare
Former VP of Research & Development,
Corel Corporation
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.
How AI-Augmented Engineering Works: Projects From Scratch
Here’s our step-by-step workflow for delivering new products using AI-augmented engineering.
01
Discovery
(High AI leverage ~90%)
You get a validated scope, architecture, and risk profile — ready for execution
We work closely with your team to deeply understand: business goals, user needs, constraints and risks, success criteria.
Senior architects define the system architecture, constraints, and guardrails
AI supports validation, edge-case analysis, early risk and gap detection
02
MVP development
(Balanced AI ~70% + human control )
You get a fast, production-ready MVP
AI generates implementation artifacts, including code, tests, and documentation
Architects validate every layer and make final technical decisions
Automated testing, combined with human QA, ensures production readiness
03
Growth & feature development
(AI leverage 30–50%)
You get a scalable product without architectural collapse
We focus on performance, security, scalability, and maintainability
AI is used selectively for acceleration and regression prevention
Why Choose AI-Augmented Engineering with Techstack
We use AI to accelerate delivery — while senior engineers retain full ownership of architecture, decisions, and outcomes.
Speed to market
Ship MVPs and features faster, iterate and validate sooner — up to 4.5× faster delivery without increasing team size or sacrificing architecture or code quality.
Lower cost per feature
Senior-led teams and less rework improve cost efficiency per feature — up to ~77% lower delivery cost, achieved through execution efficiency, not shortcuts.
Production-grade quality from day one
Delivery scales through standardized architecture, consistent coding practices, and built-in QA — not by adding more people or management layers.
Scalable delivery model
Delivery scales through better execution and tooling — without linear headcount growth, typically requiring a ~30% leaner team compared to traditional delivery models.
End-to-end ownership
From discovery and PRDs to production code and testing, we own delivery outcomes, enabling earlier detection of defects and inconsistencies and reducing delivery and release risk.
Human-governed, AI-executed delivery
12+ years of software delivery expertise define how AI is applied. Senior engineers set the rules, validate outputs, and use AI to accelerate execution — while retaining full accountability.
Unlock a New Era of Software Delivery
Production-ready MVP in 6 weeks with AI-augmented engineering and senior leadership — without sacrificing quality.
.avif)
.avif)
Who This Service Is For
Best fit for companies that:
Need to move faster without compromising quality
Are scaling products and feature complexity
Want predictable delivery with clear technical ownership
Are tired of oversized teams and growing technical debt
Not a fit if you:
Are looking for cheap, uncontrolled code generation
Want to experiment with AI without governance or accountability
Don’t involve senior technical decision-makers in delivery
Our Partners
Trusted by product teams worldwide
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.