Can you use prompt engineering through command-line based agentic workflows to help deliver quality, working software?
Speakers
Raul Rodriguez
Jaksa Vuckovic
Agenda
6:15pm - Webinar opens
* 6:30pm - presentation and demo begins, questions and answers either ad hoc or at the end
* 8:00pm - Webinar ends
Synopsis
Imagine using prompt engineering, not through familiar GenAI user interfaces, but through agentic workflows that help deliver quality, working software.
Now, consider this question:
Can software engineers use natural language and agentic workflows during development to create working software?
The answer, proven by experiment, is YES.
Jaksa Vuckovic and Raul Rodriguez are passionate about building digital products using latest software engineering trends.
Join them in this session to discover how accessible it is for any developer to create specialised AI workflows.
For those eager to know more upfront, Raul comments: "We have experimented with using natural language to instruct an AI agent to emulate our approach to Test-Driven Development (TDD).
Our experiment wasn't about complex frameworks or deep AI knowledge. Instead, it focused on clear thinking and our software development process.
"We chose TDD because it embodies proven principles of software development, with working software as its output. We built a TDD coding agent to automate the process of writing code by generating tests based on desired functionality.
By adhering to TDD principles, the coding agent, much like human developers, was able to implement and iteratively improve code quality." Jaksa generalised the approach subsequently to support just about any agentic AI workflow.
Come, see how it's done and advance YOUR software practice!
About the speakers
Raul Rodriguez is a Software Engineer with 13+ years in Frontend, DevOps & Cloud Solutions.
Specialising in AWS & Azure infrastructure, DevOps practices, and full-stack development (TypeScript, Python, Java). He has architected cloud infrastructure with Terraform for award-winning initiatives (e.g., NHS Covid-19 App), implemented environments driving life-changing research (e.g., Gates Foundation's Alzheimer's infrastructure in Azure), automated Kubernetes deployments via CI/CD pipelines, and developed Restful APIs (Python, FastAPI) that help US public sector institutions maximize every tax and tuition dollar spent.
His work drives positive impact across health, banking, finance, & insurance.
Jaksa Vuckovic helps companies to plan and realize their technology strategy by defining organisational structures and processes, growing and managing the engineering workforce, the enterprise architecture and technological knowhow of the company.
He has worked on over 40 different projects from small command line tools to systems with more than 60 microservices, ranging in size from one to over a hundred developers, and in scope from deeply technical to strategic management.
Jaksa's blog is at https://jaksa.wordpress.com/ .
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