{"id":57864,"date":"2026-09-05T01:11:09","date_gmt":"2026-09-05T01:11:09","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=57864"},"modified":"2026-10-05T20:15:31","modified_gmt":"2026-10-05T20:15:31","slug":"ai-software-factory-engineering-foundation","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/ai-software-factory-engineering-foundation\/","title":{"rendered":"AI Software Factory Engineering Foundation"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tAI Software Factory Engineering Foundation<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong> Training<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\t\t\t\t\t\tAgentic AI\t\t\t<\/span>\n\t\t<\/div>\n\n\t\n\t\t
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\n\tAI Software Factory Engineering Foundation is a practical, high-intensity course for senior software engineers and hands-on technical leaders who are already fluent with agentic coding tools and will use Claude Code during the course. Over 9 sessions, you will learn how to make the system in which your AI writes code more effective and how to strategically spend your human attention when developing software with AI. The concepts and techniques in this course also lay the foundations for building your own software factory.<\/p>\t\t\t\t

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\n\t\t\n\tAny questions?\u00a0<\/h2>

\n\tPrashant will gladly help you further with any personal or in-company needs you might have.<\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tPrashant Yadav
Academy Advisor<\/h2>\t\t

\n\t+1 <\/a>404-618-5322
<\/a>prashant.yadav@xebia.com<\/a>
www.linkedin.com\/in\/prashant-yadav-a996aa97<\/a><\/a><\/p>\t<\/div>\n\t\n\t\t\tGet in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tThis advanced program bridges the gap between using agentic coding tools and designing the environment that makes agent work more predictable, self-correcting, observable, and continuously improvable. You will learn how to steer model behavior with richer context and personas, build guardrails that produce actionable feedback to agents, choose memory architectures for different use cases, orchestrate multi-agent workflows with oversight, run higher-autonomy agents in controlled sandboxes, and reduce cognitive load with deterministic and agentic review systems. We will also discuss how to help your team adopt some of these techniques. All of this is to make your agents run longer, be more reliable, and make you more effective while reducing your cognitive load as an orchestrator and reviewer.<\/p>\t

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  • 01<\/span>Understanding how humans, agents, tools, memory, guardrails, and reviews fit together in the agentic SDLC<\/li>
  • 02<\/span>Practical techniques for exploiting latent space through high-context prompting, speech-to-text, personas, model routing, and prompt evals<\/li>
  • 03<\/span>Guardrail and memory patterns that turn repeated agent failures into reusable project knowledge and enforceable feedback<\/li>
  • 04<\/span>Orchestration patterns for visible, bounded, recoverable agent workflows that can be reviewed at a higher level of abstraction<\/li>
  • 05<\/span>Security, review, and team operating models for scaling agentic workflows while keeping agents sandboxed<\/li>
  • 06<\/span>How to implement these techniques on a team level so your team can share, apply, and benefit from each other’s learnings.<\/li><\/ol><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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    \n\tThis hands-on program combines advanced theory, guided demonstrations, pair exercises, and project-oriented design work. Each session introduces a concept, shows how it appears in real agentic engineering workflows, and turns it into a concrete course artifact such as an agent brief, guardrail pack, memory evaluation, orchestration map, sandbox policy, review-agent brief, team playbook, adoption plan, or take-home project outline. Participants may apply the ideas to their own codebase or work with a provided reference project.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n

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