Quality Engineering
Make risks explicit. Sharpen acceptance criteria. Build a test strategy around what the organization needs to trust.
Risk analysis / test strategy / accessibilitySBIT connects quality, automation and delivery. So teams see risks earlier, get useful feedback and make informed decisions.
Schedule an introductionQuality belongs in every connection.
From the very first question.

01 / The quality fabric
Who is allowed to approve a change? Follow this unclear requirement through a delivery cycle. See why the moment of feedback matters.
Quality connects agreements and implementation throughout the cycle. A late check leaves assumptions unexamined for longer.
An unclear agreement can affect design, code and tests. Introduce a change to see those connections.
An illustrative model, not a prediction. Earlier feedback can reveal unclear requirements; performance, integration and real use still need their own checks. No time savings or release guarantees are calculated.
02 / From principle to practice
Technology follows the problem. SBIT brings testing, development and delivery together to help teams act on what matters.
Make risks explicit. Sharpen acceptance criteria. Build a test strategy around what the organization needs to trust.
Risk analysis / test strategy / accessibilityAutomate valuable checks and make the results actionable. Maintainable test assets, with knowledge that stays in the team.
Test Automation / API / responsible AIConnect code, tests and CI/CD. Apply the same discipline to digital experiences: accessible, responsive and fast.
Continuous Quality / Web Engineering03 / Experience behind the approach
SBIT is built on Sanjay Bihari's experience in software quality since 2007, combined with development and delivery expertise.

In an enterprise assignment, unit, integration, system and functional tests ran automatically after builds. The results were made visible to the team.
The value: automated checks that support a delivery decision.
Java / Robot Framework / JMeterExperience combines functional and visual automation with Java and Angular development, Jenkins pipelines and performance testing.
The value: connect symptoms to code and delivery context when investigating a problem.
Java / Angular / Jenkins / SeleniumIn Sanjay's AI-assisted workflow, GPT and Llama help create or improve test scripts and generate data. Output is reviewed for reliability, organizational rules, ethics and coding style.
AI supports the work. Human judgment remains responsible for the result.
Selected practical experience. Projects are described without client names.
04 / Notes on better engineering
Blogs about quality, intelligent automation and digital engineering. From a useful question to a practical approach.
First articles coming soon · themes on the agenda

Risks, clear agreements and earlier feedback.

AI in engineering, with human review.

Performance and accessibility as design decisions.
AI-generated editorial illustrations; not photographs of SBIT projects.
05 / The next useful conversation
A quality challenge, automation question or digital project? Let's start with the problem you want to solve.
Schedule an introductionDiscuss a projectOpens your email app to arrange a meeting.