FAQ

The time needed to set up a team and start working on your project depends on the resources availability. Usually, we need from 2 to 4 weeks to set up a team and begin a project. However, having the required number of team members ready to start working on your project simultaneously, we need from 2 to 5 five days to begin your project.

We always provide the required number of specialists, even if the project needs the specific expertise of developers. At CodeIT, we have a large human resources team that is capable of scouting and hiring the top tech talents for a particular project fast.

The minimum viable product (MVP) development implies two stages. They are the following:

• Product discovery and design development stage: from 4 to 8 weeks. It can be skipped if a client already has all the required project documentation.
• Development phase: from 3 months.

The overall MVP development takes from 4 months at CodeIT.

Yes, we can scale up a team of software engineers to reduce the development time. However, in such a case, the average velocity of every team member decreases because the number of processes increases.

Unfortunately, the dependence between the number of team members and a team’s performance isn’t linear. Therefore, when composing new teams, we always strive to achieve maximum performance and meet clients’ goals.

Several factors can cause bottlenecks that slow down the development processes. The top challenges and our response to them are the following:

• Communication issues — We create a detailed communication plan with thoroughly scheduled one-a-one sessions and define the best ways of communication along with a thorough agenda to avoid this problem.
• Team and tasks management issues — When our team members begin working on a new project, we create a transparent collaboration environment using tasks management tools like Jira to overcome this problem.
• Not defined roles and their responsibilities — Our managers create a RACI matrix to define the roles and responsibilities of all experts involved, including team members on the client’s side.
• Human factors — At CodeIT, we have a large team of experts, so we can easily tackle any issues caused by human factors. If some experts cannot continue working on a client’s project because of unexpected issues, we can quickly assign a new specialist to ensure smooth product development.

The “time and material” and “team augmentation” are the two cooperation models we support. We have no hidden fees and extra charges. When working with CodeIT, the client pays only for the time developers spend.

Unfortunately, the “fixed price” model isn’t supported by our company because it doesn’t offer the opportunity to establish transparent cooperation with clients. It’s challenging to estimate the project budget because it is affected by unforeseen circumstances, third-party services integrations, and technology updates. Consequently, clients get overcharged or receive products of unacceptable quality when choosing the “fixed price” cooperation model.

Our business model is focused on developing innovative digital solutions using the latest solutions. We don’t generate business projects. As a tech-strong partner, we help implement business concepts or increase the existing team only.

We don’t leave our clients hanging when the product development ends. Since many products need different types of after-development involvement of experts, we discuss every request separately. Usually, we provide after-development support that lasts from 3 to 6 months.

Our clients get access to a large number of helpful cooperation tools and monitoring tools. For instance, clients can check the tasks’ completion using Jira. Also, they can monitor the performance of developers by checking the source code delivered by software engineers.

The client’s involvement depends on the project’s business goal, clients’ desire, and its stage. Here are the most popular involvement options that clients choose:

• Most clients, roughly 80%, choose to have one or two 30-minute one-a-one meetings per week to stay updated about the progress.
• 10% of clients join the sprint review sessions to check product development progress and learn more about possible issues. The sprint review session is conducted once in two weeks.
• 10% of our clients thoroughly assess the daily performance of our team by using tools like Jira and Github. Our clients get daily reports generated automatically.

Nevertheless, we always strive to meet the needs of our clients. Therefore, we can adjust our processes so that the client gets completely satisfied with their involvement in a project.

Confidentiality is crucial in our partnerships. We sign a non-disclosure agreement (NDA) to protect your business. It grants our clients 100% confidence that all the information they share won’t be revealed to third parties.

Moreover, we have a security tool that helps us grant and disallow access to all corporate tools for every user automatically using the single sign-on (SSO). Only approved users have access to internal tools and sensitive information.

At CodeIT, we sign the statement of work (SOW) and master service agreement (MSA). These documents outline the cooperation process. When the product development process is finished and all the invoices are paid, we transfer the intellectual property and legal rights to our clients.

We use NDAs, access control, approved internal tools, and defined security practices to protect client information.
When AI is used, sensitive artifacts such as credentials, API keys, and protected project assets are kept outside AI tool contexts.

No. AI is applied only where it fits the project context, security requirements, business goals, and delivery model.

Some projects are best delivered through a fully traditional engineering approach. Others can benefit from AI-powered acceleration in selected workflows. In some cases, a hybrid model is the right fit.

Yes. Traditional custom software development remains one of CodeIT’s core delivery models.

If your project requires isolated environments, strict data controls, regulated workflows, or fully human-led development, we can work within a traditional delivery model.

AI-Powered Engineering is a controlled delivery model where AI supports selected engineering workflows, such as drafting, documentation, analysis, testing support, or repetitive implementation tasks.

CodeIT engineers remain responsible for context, review, validation, quality, and what reaches production.

AI-Powered Engineering is about how software is delivered. It uses AI inside the engineering process to support selected delivery workflows under human review and security controls.

AI Development & Automation is about what we build for clients. This includes AI agents, workflow automation, RAG systems, AI support automation, document processing, and AI-enabled product capabilities.

AI usage is governed by security controls, approved tooling, access boundaries, and human review.

Sensitive artifacts such as secrets, credentials, API keys, and protected project assets are kept outside AI tool contexts. Client code and data are not used to train or improve AI models.

Yes. No AI-assisted output reaches production without human review.

Engineers validate the output through code review, testing, security checks, and quality gates. The engineer responsible for the task remains accountable for what ships.

Yes. Dedicated Teams can work within traditional, AI-powered, or hybrid delivery models depending on client requirements.

If AI-powered workflows are used, they follow approved tooling, security boundaries, human review practices, and the client’s governance expectations.

We use a lot of different technologies to build products that match the requirements offered by our customers.

• Web: React, Angular, Vue, Python, Node.js, JAVA, PHP, .NET
• Mobile: Flutter, Swift/Objective-C, Android SDK, Java, Kotlin, React Native, Native Script
• DevOps: Ansible, Terraform, GitLab-ci, Jenkins, AWS, Azure, GCP, Digital Ocean, Kubernetes, Google Cloud

Our primary goal is to choose the best set of technologies to achieve all the business goals in the most efficient way.

Consequently, our experts analyze business and technical requirements provided by clients thoroughly and offer the best architecture and tech stack proposal. We always stick to the most optimal solutions, offering a perfect blend of innovative technologies, affordability, and simplicity.

Cooperation with clients from English-speaking countries is the main focus. Therefore, our team members have a high level of English proficiency.

We meticulously check the English proficiency of every applicant before hiring a new team member and run English classes to help our specialists maintain a high level of English-speaking skills.

We start with business and technical requirements, security constraints, scalability needs, and expected outcomes.

Based on this context, we recommend the right technology stack and execution model: traditional engineering, AI-powered delivery, AI-native development, or a hybrid approach.