AI Transformation in Software Development Lifecycle Processes.

Comprehensive implementation of software engineering supported by artificial intelligence. From architecture and requirements, through code, all the way to infrastructure..

A consulting service for implementing Generative AI into the software development lifecycle (SDLC), while avoiding pitfalls related to: security, model hallucinations, and reduced code quality.

Our approach is based on gradual evolution, not a revolution. We understand the specific nature of mature development teams, which is why we avoid shock therapy.

Rather than disrupting processes that already work, we integrate AI where it delivers a measurable return on investment and relieves engineers of repetitive tasks.

Implementation model:

  • Audit and Strategy: Analysis of the current process, technology stack, and engineering culture.
  • Proof of Value: Pilot implementation in a selected team or system module.
  • Scaling Competencies: Systematic expansion of practices across the entire organization.

Subject-Matter Scope of the Service

We implement standards that combine strategic application lifecycle management with a focus on code quality (Software Craftsmanship).

Area I: Architecture, Requirements, and Process (Macro Level)

We focus on the phases preceding coding ("Shift Left"), to eliminate errors at the source and accelerate the flow and availability of domain/business knowledge.
  • AI in Business Analysis: Implementation of techniques for generating and verifying software development tasks based on available “raw” business knowledge: meeting transcripts, process documentation, work instructions, regulatory changes, etc.
  • Living Documentation: Automation of technical documentation processes so that documentation evolves alongside the code, preventing it from becoming outdated.


Area II: Engineering Efficiency and Code Quality (Micro Level)

We equip developers with techniques and tools that make their work faster while maintaining rigorous coding standards.
  • Context Engineering: Training in effective context building for LLM models to obtain precise, secure, and standards-compliant results.
  • Testing and ATDD with AI: Generation of unit, integration, contract, and End-to-End tests (from GUI to database). Use of AI to analyze code coverage and identify edge cases.
  • Code Review and Quality: Configuration of AI agents acting as a "first reviewer" – automatically detecting logical errors, requirement mismatches, security vulnerabilities, and deviations from the architecture or applied patterns.
  • Working with Legacy Code: Techniques for safely refactoring, explaining, and documenting old code with AI assistance.

Infrastructure and Deployment Models

A key element of the service is providing a runtime environment aligned with your organization’s security policy.

  • Cloud Native (Enterprise API) - For companies that accept cloud data processing (with BAA agreements) and prioritize the highest model "intelligence".
  • Private Cloud (VPC) - For organizations requiring compliance with corporate regulations and already operating infrastructure in a public cloud.
  • On-Premise (Air-Gapped) - For banks, the public sector, and R&D organizations with the strictest confidentiality requirements. The service includes hardware selection, configuration, and support.

Legacy System Modernization (Optional)

A dedicated AI-supported technology transformation process.

Option A: "End-to-End" Delivery (Design + Execution)

We take responsibility for the technical implementation of changes.
  • Analysis: Use of AI to map dependencies and understand the business logic of the existing system.
  • Migration: Our expert team carries out refactoring, technology version upgrades or architecture changes (e.g. monolith decomposition).
  • Delivery: You receive a modernized, fully tested system ready for further development.

Option B: Enablement & Mentoring (Design + Training)

Transfer of competencies into the organization.
  • Strategy: Together, we develop the modernization plan and target architecture.
  • "On the Job" Workshop: We teach your team how to use AI to work safely with existing code. We demonstrate in practice how to write characterization tests, automate tedious changes, and refactor code with LLM support.
  • Goal: A modernized system and a team capable of maintaining its quality independently.

Implementation Outcomes

Taking into account the perspective of achieving business objectives.

  • Accelerated Time-to-Market: Shorter feature delivery time through automation of repetitive tasks.
  • Technical Debt Reduction: Systematic improvement of code and architecture quality (Clean Code).
  • Knowledge Retention: AI acts as a project "knowledge custodian", making it easier to onboard new employees.
  • Data Security: Full control over where source code and documentation are sent.
  • Competency Scalability: Standardization of working practices across development teams.

Consulting services

Project Kick-off

When you start a new project or refactor a legacy system.

Tap the knowledge of our experts to plan a strategy for reaching your goals. Our hands-on mentors will facilitate the implementation of well-crafted technical solution.

Architecture audits

When you are stuck at exploring available options or analysing causes of the current situation.

Together, we define architectural goals and quality attributes.

Team Mentoring

When your team needs organisational and technical patterns.

Hands on mentoring helps your team to focus on goals and keep them in sight.

Leadership coaching

When your team rotates dynamically.

Each new member needs a technical leader whom he follows. Can technical proficiency ber combined with leadership skills? To some degree, yes; we can develop these skills.

Performance Tuning

When you need an expert intervention on various levels: operating system, database, virtual machine, UI.

We offer a broad pectrum of expertise: JVM, .NET, PHP, JS, Oracle, MSSQL, DevOps.

Machine Learning

Whet your model needs a careful maintenance

We offer modeling, technical and business consulting.

Bottega Experts

Sławomir Sobótka

Jakub Nabrdalik

Technical mentors

We are commited to our supporting role.

Every trainer and expert who works for Bottega has been handpicked from the upper echelons of the industry. All of our experts possess 10+ years of experience and a wide reange of adaptation possibilities combined with deep specialization in one field.

Łukasz Szydło

Mariusz Gil

We strongly belive in our two-pillar competence model: a strong technical pillar coupled with a strong support pillar that consists of soft skills, educational talent, charisma and strategic thinking.

Meet all of us

Bottega in numbers

Summary of 15 years of training, counseling and community activity.

78

Trainers employed We cover almost whole technological landscape.

451

Clients served From small to largest in the IT industry

12150

Training days completed Experience that builds our trainers.

43168

IT proffesionals trained Gives us real impact on state of the art of the industry.

Trainers and experts We gather distinguish veterans.

It's all about quality All our clients return to us when new needs arise.

Continous improvement Each training session is individually crafted not delivered by routine.

Fans, not clients We strive to build a close relationship with every trainee.

OurClients

As engineers, we consider our growing number of returning clients to be the most important indicator of our success.

The idea of Bottega

Bottega is a modern revival of the Renaissance idea of an atelier in which journeymen can refine their craftsmanship under the guidance of a mentor.

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