Staging environment

Design a Software Factory for Your Coding Agents

Hosted by Paramanantham Harrison

Thu, Sep 24, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

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Agentic Software Factory for Engineers & Tech Leads
Paramanantham Harrison
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What you'll learn

Map the six layers of a Software Factory

See what each layer does and which problem it removes from your daily agent work.

Route context to each task

Work out what an agent needs for a task and where that context should come from.

Separate skills from prompts

Keep reusable engineering know-how out of one-off prompts so every agent can use it.

Find the missing layer in your setup

Identify the gap that is causing rework when agents write code for you today.

Why this topic matters

Coding agents become more reliable when the system around them controls context, execution, verification and delivery. In this session I walk through the six layers of a Software Factory (Boundary, Context, Skills, Execution, Verification and Delivery) and show why routing the right context to each task beats writing an ever-longer prompt. You leave with a map to apply to your own codebase. Part 1 of 4 in the Software Factory series.

You'll learn from

Paramanantham Harrison

Engineering leader, Agentic AI educator

Hi, I’m Param. I’m an engineer, engineering leader, and educator focused on Agentic AI.

I’ve been building software since 2011, from full-stack products to leading engineering, data science, and SRE teams. I’ve also stayed hands-on with the code throughout.

Today, I build production AI systems using LangGraph, RAG, vector search, evals, and LLM observability.

I also run learnwithparam.com, where I teach my six-week Agentic AI bootcamp.

My teaching comes directly from the systems I build and the teams I’ve worked with. I focus on helping engineers go beyond AI demos and learn how to actually design, build, evaluate, and ship agentic systems.

You can see what I’m building on GitHub and learn more about my work at learnwithparam.com.

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