Explore how context engineering enables truly autonomous software agents that scale quality and speed while keeping teams focused on high-value decisions.
Replace vague prompting with spec-driven development so AI outputs stay auditable, testable, and aligned with a predictable engineering process.
Build an AI-first performance agent with k6 and n8n to anticipate failures early, trigger smart alerts, and automate repetitive reliability work.
See how MCP-enabled workflows help your IDE understand context, generate stronger tests, and prioritize quality tasks without losing delivery speed.
Learn how to move from fragile prompt-only coding to a spec-driven workflow with clear execution plans and testable tasks that keep AI aligned with your architecture.
Understand how to combine Playwright and GitHub MCP servers to automate testing tasks, expand edge-case coverage, and strengthen delivery confidence.
Discover an AI-first approach to web and API testing that turns backlog context into practical automation using MCP integrations and agentic IDE workflows.
Learn a pragmatic AI-first workflow to design, build, and test applications faster by orchestrating MCP-powered tools from ideation to verification.
Cucumber is a software testing framework based on BDD (Behavior-Driven Development), which seeks to prioritize communication and collaboration among all team members. In this talk, Charly Automatiza discusses whether software development teams truly leverage this as an advantage or if it ultimately complicates communication, testing, and automation.
Analyse the performance of your applications in detail with K6, Grafana and Prometheus. Learn how to design performance tests, visualise results in customised dashboards and make decisions based on metrics to optimise your systems
