Struggling with tech debt, missed deadlines, or scaling your dev team?
AI-assisted software development solves these issues by reducing manual effort, optimizing code quality, and enabling predictive planning.
We embed AI-first SDLC management practices into your software lifecycle, boosting velocity and freeing up senior engineers to focus on business-critical features.
Our AI-Assisted Software Development Services
AI-Assisted Coding
Speed up feature delivery with AI assisted coding. We integrate intelligent code completion, pattern reuse, and pair programming tools to minimize grunt work and reduce delivery cycles.
AI-Augmented DevOps and CI/CD Automation
Stabilize and scale your pipeline with AI-augmented DevOps tools. Predict outages, suggest optimizations, and automate rollback decisions in your CI/CD pipeline to improve release consistency.
AI-Powered Code Reviews
Enhance your PR review process with machine learning algorithms that identify bugs, vulnerabilities, and style inconsistencies, all before they reach production.
AI-First SDLC Management
Make better roadmap decisions with data-driven predictions. Our AI-first approach aligns product requirements with delivery velocity, reducing waste and prioritizing what matters most.
AI-Augmented Consulting for Development
Not sure where to start? Our consultants assess your current tools, codebase, and workflows to suggest AI-assisted development solutions tailored to your stack, team size, and roadmap goals.
Faster Time to Market
AI-assisted programming shortens iteration cycles by automating boilerplate code and pre-validating logic against historical bugs.
Reduced Development Costs
Save engineering hours, reduce rework, and cut redundant QA time by using predictive testing and AI-based CI optimization.
Better Feature-to-Metric Alignment
AI-enhanced product roadmaps allow dev teams to align features with user behavior and business KPIs more accurately.
No Knowledge Drain
Through consistent documentation and AI-enabled codebase indexing, new hires onboard faster, and legacy knowledge is retained.
S-tier Code Quality
With AI-powered code reviews and security testing, every commit is screened against compliance, performance, and architecture rules.
Selected Cases
MyJiraBot
Evolv
Platform Upgrade For European Parliament
Want to overcome persistent engineering bottlenecks?
Contact UsWhy Choose Us
Tool-Agnostic Integrations
We work with your existing CI/CD and repo tools—GitHub, GitLab, Bitbucket—to add AI where it matters.
Security First
All AI-powered code operations follow OWASP and ISO standards to protect your proprietary code.
Proven ROI
Our clients report up to 60% reduction in code review time and 2x faster delivery in early sprints.
Dev-Centric Adoption
We avoid adding overhead. Our AI assistants integrate smoothly into VS Code, IntelliJ, and CLI workflows.
Predictive Planning
Our AI-first SDLC management system helps product owners make accurate sprint estimates and roadmap commitments.
AI-Native Team
We’ve trained with the best AI toolkits—Codex, CodeWhisperer, and AutoML—to deploy the right solution for your environment.
AI-Assisted Software Development Technologies We’ve Mastered
FAQ
What is AI-assisted software development, and how does it differ from traditional development?
AI-assisted software development is a key component of the broader artificial intelligence software development services we offer. It utilizes machine learning models to automate repetitive tasks, enhance accuracy, and expedite delivery, while maintaining human developer control.
Is AI assisted coding secure for proprietary projects?
Yes. We use on-prem or private cloud LLMs to ensure your codebase and architecture remain fully confidential.
How to measure ROI from AI-assisted tools?
Track reduction in delivery time, QA hours, and bug rates throughout pre-implementation and post-implementation. We help benchmark before and after adoption.
What are the common pitfalls when adopting AI-assisted development?
Common issues include over-reliance on AI suggestions, lack of integration with existing workflows, and under-training teams on how to review AI outputs.
We turned to Redwerk because we did not have the resources or the expertise in-house to build a cloud-based product. They're incredibly professional, responsive, and highly communicative. We launched the product last year, and we're still doing business with them. I'd recommend them in a heartbeat.
I need to be sure that developers are truly involved and support our vision. This is what I get from cooperation with Redwerk.
I have nothing but great things to say. The quality of work is great, it’s very very fast and the team always come up with suggestions on how to improve things.
Related in Our Blog
Digital Transformation Models: 7 Types You Should Know for 2025
SDLC Audit Checklist: Auditing the Software Development Process
Budget Planning for Software Projects: What to Consider
C# Code Review Checklist: Best Practices & Tips
Want to enhance your engineering speed with AI?
Let’s talk about how to scale smarter with AI-assisted software development.
120+
AI-AUGMENTEDDEVOPS SETUPS
60%
REDUCTION INCODE REVIEW TIME
3x
SPRINT DELIVERY SPEED30+
AI-ASSISTEDPROJECTS DEPLOYED