Claude Code experts for real-world software development
Claude Code is a relatively new space. Many developers are experimenting. At the same time, very few software companies truly master it in large, production codebases. We help engineering teams – from focused product teams to large organizations – adopt Claude Code inside their real SDLC, adapting our approach to your scale, stack, and delivery constraints. Choose engineers already using Claude Code in production environments, not early-stage experimenters.
The gap between AI demos and production reality
You’re not questioning whether AI is necessary. </br> You already know that careless adoption can cost your organization more time and money than no adoption at all – and that avoiding AI entirely will, over time, significantly weaken your competitive position. The real challenge is closing the gap between AI demos and production reality. </br> The real problem isn’t AI itself. It’s the lack of a structured, engineering-driven approach to using AI inside an existing SDLC — especially in large, long-living codebases. </br> What we usually see in engineering organizations like yours:
AI tools are present, but used inconsistently
- some developers experiment on their own - others don’t trust the output at all - teams work at different speeds and quality levels
GitHub Copilot (or similar tools) falls short in large backend systems
- shallow suggestions in complex Java codebases - hallucinations when context spans multiple modules - limited support for refactoring, testing, and review
There is no standard way of using AI in the SDLC
- no shared practices - no clear guardrails - no agreement on what “good AI-assisted code” looks like
AI adoption is hard to justify at the leadership level
- productivity gains are anecdotal - quality impact is unclear - ROI is difficult to defend in front of stakeholders
AI initiatives don’t scale beyond isolated pilots
- successful experiments stay local to individual teams - no clear path from “it worked once” to organization-wide adoption - leadership is left without a repeatable rollout model
AI is seen as a risk rather than an enabler by part of the engineering team
- concerns about losing ownership over code and decisions - skepticism toward AI-generated changes in critical systems - fear that AI optimizes for speed at the expense of engineering quality
AI Is a process decision, not a tool choice
Claude Code delivers value only when it is embedded in real engineering work. The challenge is not learning a tool, but integrating AI into existing SDLCs, large codebases, and team workflows – without compromising quality or predictability.
- 1
Engineering-driven, not tool-driven
Effective use of Claude Code starts with engineering judgment. Without a deep understanding of the system, architecture, and constraints, AI output quickly becomes shallow or misleading. AI works best when it supports engineers, rather than replacing established practices.
- 2
Context and control matter
In large, long-living systems, results depend on how context is built and constrained. Claude Code becomes useful only when it operates on meaningful parts of the codebase and within clear boundaries, with engineers fully accountable for the outcome.
- 3
From demos to real use cases
The real value of Claude Code appears in everyday engineering work: reasoning about existing code, improving tests, supporting refactoring, and strengthening code reviews. This is where AI can reinforce quality instead of introducing risk.
How we help teams work with Claude Code in practice
Organizations don’t need more AI tools – they need a clear, low-risk way to turn AI into predictable engineering outcomes. Our offerings are structured to support informed decisions, controlled adoption, and scalable use of Claude Code across real SDLCs.
Who has benefited from Boldare's expertise?
Explore practical AI usage in your codebase
Book a strategy session – no commitments required. Our experts will get back to you within one business day to discuss your vision and provide personalized insights to help achieve your product goals.
Why choose Boldare as your Claude Code Experts
Choosing a partner for Claude Code means working with engineers who understand real delivery, large systems, and production responsibility. Boldare combines decades of software experience with production-level use of Claude Code to support controlled, engineering-first AI adoption.
AI-native today. Engineering-driven since day one
Boldare has been building digital products for over 20 years and has always been at the forefront of how software is delivered. We were early adopters of Agile practices in the SDLC, long before they became standard, and over two decades we’ve delivered complex digital products for international brands such as Bosch, TUI Musement, BlaBlaCar, and Decathlon. When AI became a viable part of software development, we approached it the same way we approach every major shift: early, hands-on, and systemically. We started with real experiments and fast validation, while building the foundations for long-term adoption — forming an internal AI guild and dedicating our 2023 Dev Camp entirely to AI, with hands-on workshops led by Max Salomonowicz. Today, Boldare is an AI-enhanced organization, but our core hasn’t changed. We remain a group of highly experienced engineers and designers who have worked through hundreds of real product challenges. AI strengthens our work, but engineering judgment, product thinking, and delivery responsibility remain at the center of everything we do.
Real-world AI insights from our engineers
In the APBC Tech Series, we share hands-on experience from real software delivery. These videos go beyond theory and demos, showing how we build, scale, and maintain digital products — and how AI supports everyday engineering work in real-world development workflows.
Weekly AI bites
Explore how we use AI in real development environments. Our latest articles share practical insights from Boldare's experience with AI-enhanced engineering, from generating test cases to accelerating API migrations and building design systems. These hands
Explore practical AI usage in your codebase
Book a strategy session – no commitments required. Our experts will get back to you within one business day to discuss your vision and provide personalized insights to help achieve your product goals.
Services
Gliwice
Warsaw
Wroclaw
Cracow
© 2026 Boldare. All rights reserved.
Boldare S.A. z siedzibą w Gliwicach, przy ul. Zwycięstwa 52, zarejestrowana w Sądzie Rejonowym w Gliwicach, X Wydział Gospodarczy Krajowego Rejestru Sądowego pod nr KRS 0000914518, NIP 6312698829, REGON 38958555. Wysokość kapitału zakładowego i wpłaconego 100 000,00 zł.