Systems | Development | Analytics | API | Testing

As software systems grow more complex and business cycles demand faster releases, traditional approaches to quality engineering are no longer enough. AI brings a new dimension to the Software Development Life Cycle—augmenting decision-making, predicting risks, automating quality checks, and continuously assuring value delivery. Armed with GenAI and Agents we can reshape how we think about software quality. This discussion explores practical ways to embed AI across the SDLC to accelerate delivery, reduce risk, and achieve a step-change in quality outcomes.

Private AI is emerging as a strong alternative for teams that need the power of AI without compromising data privacy or compliance. This session explores how local LLMs can support software development and test automation when cloud-based tools are not an option. Using setups like Ollama with models such as Qwen 2.5 and integrations like the Continue plugin, the talk demonstrates how secure, on-device AI can accelerate tasks like BDD creation, automation scripting, and performance testing.

Retrieval-Augmented Generation can sound convincing while still being wrong. This session focuses on moving beyond surface-level metrics and turning stochastic AI outputs into evidence-backed, verifiable results. It explores how to test the entire RAG pipeline, from ingestion and indexing to retrieval, grounding, and answerability, ensuring every response is traceable to the right source, policy, and user context.

This Atomic Talk is based on an analysis of more than 500 QA and software testing job openings across the United States. The session walks through the research process, the data collected, and the key trends revealed through clear graphs and insights from the study. By the end of the talk, attendees will have a strong understanding of the most in-demand testing skills, tools, programming languages, and automation technologies currently shaping the QA job market in the U.S., helping them make more informed career and upskilling decisions.

Freelancing is more than a side hustle. It can be a launchpad to global careers, higher earning potential, and exposure to diverse teams and practices. This session shows how testers can start with small freelance gigs to build experience and credibility, then scale into larger, long-term engagements by specializing in areas like automation, performance, or QA consulting.