Your Developers Are Using AI. The Question Is How.
Shadow AI is everywhere - developers are using public ChatGPT with your proprietary code.
71% of corporations already use GenAI (McKinsey 2024), yet most IT teams see far less than the 10-45% productivity gains that research proves is possible.
Why? Missing context. Generic AI doesn't understand your codebase, your architecture, your conventions. You're paying for Copilot licenses but getting generic suggestions.
The DX Heroes Way: AI DevTools configured for YOUR codebase. Secure. Governed. Actually useful.
MCP Servers & AI DevTools Setup
Secure, governed AI coding assistants connected to your repositories. Works behind VPN with GitLab/GitHub. Cursor, Copilot, Claude - configured for YOUR infrastructure.
Result: 67% of developers report code quality improvement (DORA 2024).
Agents.md & Agentic AI Workflows
Custom Agents.md configurations, tailored commands, spec-driven development templates. Context engineering that makes AI understand YOUR codebase. Build agentic AI workflows for DevOps automation.
Result: 10-45% productivity increase on technical tasks.
Cursor vs Copilot: Setup & Training
Hands-on workshops for developers—not generic AI theory. We help you choose and configure: GitHub Copilot, Cursor, or Claude across VS Code and JetBrains.
Result: +8.7% job satisfaction, reduced turnover (DORA 2024).
AI Code Review & Testing Automation
AI-powered code review, test case generation, and DevOps AI integration. Automate your entire SDLC with intelligent tooling.
Result: 78% of IT leaders cite AI code review as key opportunity (IBM 2024).
IDE-Agnostic Setup (VS Code, JetBrains, Cloud Code)
On-Premise & VPN Compatible
Custom Context Engineering for Your Codebase
Measurable ROI in 2-12 Weeks
DORA Metrics & AI: The Numbers Don't Lie
Research-backed results from 200,000+ developers (DORA 2024):
10-45%
productivity increase on technical tasks
67%
of developers report code quality improvement
+8.7%
job satisfaction → reduced turnover
42%
cost reduction in organizations with AI strategy (McKinsey 2024)
What this means for a team of 50 developers:
10-45% productivity = 5-22 extra developer-equivalents (without hiring costs)
8.7% satisfaction increase = lower turnover (avg. 300k CZK saved per retained developer)
1.8% code complexity reduction = faster onboarding for new hires
We ARE Developers
We're not strategy consultants who discovered AI. We're engineers with 10+ years building software. We know the difference between a useful AI suggestion and hallucinated garbage because we use these tools daily.
Concrete Deliverables, Not Slide Decks
You get MCP servers, Agents.md configurations, custom prompts, and trained developers - not 200-page strategy documents. Working code, not PowerPoint.
Weeks, Not Months
Big 4 consultants need 6-18 months and millions of CZK. We deliver functional pilots in 2-12 weeks. AI ROI grew from 13% to 31% in one year—speed matters.
On-Premise First
We understand regulated industries. Your code stays in your VPC. We configure AI tools to work behind corporate firewalls, with GitLab behind VPN, with your security policies.
Petra Brýdlová
Project Manager
“Extraordinary work commitment.”
It is always difficult to coordinate integration testing and debugging, and we needed to deal with six teams of participating banks at the same time. Thanks to the DX Heroes people everything went smoothly and we were able to solve all integration issues in the different systems of the involved banks. DX Heroes demonstrated not only perfect work organization and extraordinary work commitment, but also a proactive approach in the many crisis situations we dealt with. I especially appreciate the ability to come to a consensus across different solution teams and bring everything to a successful completion.
Frequently Asked Questions
Cursor vs Copilot - which is better for enterprise IT?
It depends on your infrastructure and team size. Copilot integrates seamlessly with GitHub, while Cursor offers more customization options. We help you evaluate both based on your specific needs.
Some studies say AI slows developers down. Is that true?
Without proper context engineering, yes. Generic AI suggestions can actually slow down experienced developers. That's why we focus on configuring AI tools specifically for YOUR codebase.
How does this work with GitLab/GitHub behind VPN?
We configure MCP servers and AI tools to work entirely within your network. Your code never leaves your VPC.
Is data processed locally (on-premise)?
Yes, we can set up completely on-premise solutions. For cloud-based tools, we ensure proper data governance and security policies are in place.
How do you handle different IDEs (VS Code, JetBrains)?
Our configurations are IDE-agnostic. We support VS Code, JetBrains IDEs (IntelliJ, WebStorm, etc.), and cloud-based development environments.
What about EU AI Act compliance?
We ensure all AI implementations comply with EU AI Act requirements, including transparency, documentation, and human oversight provisions.
How long until we see results?
Typically 2-12 weeks for initial pilot results. We measure productivity improvements using DORA metrics and other industry-standard benchmarks.
Do we need to change our existing development process?
No. We integrate AI tools into your existing workflows. The goal is to enhance, not disrupt, your current processes.
Book AI DevTools Assessment
Stop paying for AI licenses your team can't use properly.
Get a free AI DevTools assessment. We'll show you exactly where the 10-45% productivity gains are hiding in your team.
Prokop Simek
CEO
With over 12 years of experience in software engineering, I leverage my expertise to bridge the gap between business goals and technology for our clients.