AI-Augmented Engineering as
a Service
Code 35% faster without hiring more engineers. Transform your development from random AI experiments to strategic AI adoption with measurable results.
The Numbers That Matter in
AI-Augmented Software Development
Up to
35
%
Team velocity increases within first sprint of AI adoption in development processes
Nearly
30
%
Approximately 3,000 AI-suggested code lines integrated into production from the first sprint
Average
80
%
Engineers embracing AI tools and advocating for broader adoption
Techstack is an example of successful engeneering organization
Arila Barnes
Managing Director of AXM Software LLC
Engineering Bottlenecks We Solve
At Techstack, we view AI as a tool to augment software engineering expertise, not replace it. By prioritizing product ownership, our teams speed up time to market and deliver impactful solutions.
Slow release cycles
When QA and code reviews create bottlenecks that push back your launch dates.
Wasted talent
When your best engineers spend 70% of their time on repetitive code and documentation instead of high-impact work.
Unpredictable delivery
When sprint performance varies wildly, making roadmap forecasts look like a guessing game for stakeholders.
Innovation bottlenecks
When maintenance work leaves no bandwidth for the breakthroughs, your products need to stay competitive.
Real Results From Real Teams
Our AI-Augmented engineering approach is proven to speed up time to market while maintaining code quality. See the impact in action.
Augmented engineering with AI-first approach
Automation processes
Digital Transformation
United States
At Techstack, we accelerated our development processes by strategically integrating AI. Our engineering team achieved these results within just two sprints:
Eliminated test creation bottlenecks through AI automation
Shifted code review earlier in the development process
Identified the most effective tool combinations
Leveraged AI for faster architecture solutions
Established knowledge sharing systems across teams
Key impact
35% increase in team
velocity with no impact on quality
70% reduction in time
spent on routine documentation
Teams reduced review cycles through AI-assisted early-stage code reviews
Approximately 3,5K
AI-generated code lines accepted from first sprints
AI-augmented test case development
Automation processes
United States
We used AI capabilities to transform our software testing approach and accelerate release cycles. The measurable benefits included:
AI-generated test cases with higher accuracy and detail
Better detection of edge cases, improving overall test coverage
30% faster testing cycles, eliminating release bottlenecks
Earlier bug detection with AI-powered code analysis
Our AI Augmented Software Engineering Services
Techstack is a one-stop technical partner with AI-augmented engineering focus. We offer two options to meet diverse business needs:
AI assisted development team
A dedicated team of developers who bring an AI-first approach and hands-on expertise to your tech ecosystem. We provide full-cycle product development with a focus on launching faster by using AI tools to automate routine tasks, investigations, and coding.
Ideal for:
Teams seeking immediate productivity gains
Complex products with tight launch deadlines
Product leaders looking for real results from AI adoption in dev processes
Key benefits
Access to hands-on AI assisted development expertise
Automation of routine tasks, investigations, and coding
Language-specific optimization
Fast-track your product development
AI adoption in engineering
Dedicated experts who help you adopt AI tools into your existing workflow. We start with an audit of your engineering processes, provide clear recommendations, and work alongside your engineers to build automation processes and increase development velocity.
Ideal for:
Organizations planning long-term AI transformation in engineering
Teams seeking to build internal AI-augmented competency
Product leaders who want to test AI before full adoption
Key benefits
Avoid productivity dips while building in-house AI culture
Integrate best practices into existing workflows
Leave technical
complexity to us
Achieve quick wins with measurable results
AI-Assisted Product Development Process
Complete product development service with AI acceleration built in. We handle the tech part while you focus on your business.
01
Onboarding & requirements
We assemble a dedicated team with PM and AI tools expertise
Establish security protocols and development roadmap
Set up data-driven KPIs and risk management strategy
02
AI-enhanced delivery
Our team develops your product with AI tools
Dedicated PM ensures quality standards and timeline adherence
Engineering excellence program monitors the health of projects development
03
Continuous optimization
Regular reporting on productivity and quality metrics
Flexible team composition as project needs evolve
Knowledge transfer to your in-house team if desired
Long-term support for product evolution
AI Adoption in Engineering Process
We help your existing engineering team implement AI tools and methodologies for maximum productivity.
01
Assessment & strategy
Audit your engineering workflows to find opportunities
Identify high-impact areas for AI implementation
Establish baseline metrics to measure improvements
Create a customized AI adoption roadmap
02
Guided implementation
Train your engineers on effective AI tool usage
Start with quick wins in testing and documentation
Develop team-specific AI best practices
Build internal knowledge sharing systems
03
Scale & empower
Expand AI adoption across your engineering teams
Develop internal AI champions and expertise
Transfer measurement frameworks to your leadership
Provide ongoing support as your needs evolve
How We Track AI Performance
With AI tools and proven methodologies, we transform routine tasks into development velocity. Here's how we measure results:
AI productivity
We track code completion rates, language usage (with specific acceptance rates), and team velocity (comparing sprint performance before and after AI adoption).
Quality
We monitor bug density in staging and production environments, as well as unit test coverage.
Adoption
We measure AI usage rates, daily active users, and overall tool adoption across engineering teams. We also collect engineer feedback to continuously improve the integration process.
Why Product Leaders Choose Our Approach
Your team maintains full product ownership, while our AI-first methodology helps them deliver at predictable speed.
Results you can see
Not theories or promises—we delivered 35% faster development from the first sprints. Real teams, real products, real metrics.
Metrics that matter
We track what counts: velocity, quality, and adoption. Clear data to show your executive team exactly how AI accelerates your roadmap delivery.
Tech that works
We've proven which AI tools work best for JavaScript (41% acceptance), Terraform (36%), and YAML (25%). No guesswork with your technology stack.
Engineers advocate it
90% of Techstack's engineers adopt our approach willingly. No resistance, no culture wars—just teams freed from routine tasks to build better products faster.
Request a Free No-obligation Quote
Anton Ivanchenko
Business Development Manager
Hi! Ready to ship 35% faster? Let's talk about how our AI-augmented engineering can accelerate your roadmap without compromising quality.
What’s Next?
01
Get a confirmation email within 12 hours
02
Meet with Anton and discuss your team needs
