FoundationsVirtual

AI Is Already in Your SDLC

Foundations for context engineering and accelerated AI utilization across software delivery.

A focused two-hour session on context engineering for the agentic SDLC. Prompting is the entry point, but the real skill is knowing what context to give an AI system, how to structure it, how to evaluate the output, and how to turn reusable patterns into skills and tool-connected workflows.

Investment per seat
$199
Format
2-hour interactive live training
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Workshop 1 of 3 in the Accelerator

Who this workshop is for

  • Executives
  • Product Leaders
  • PMs
  • Designers
  • QA
  • Engineers
  • Delivery Leads
  • Business Analysts
  • Architects
  • Security Stakeholders
  • Anyone Involved In Software Delivery

Why it matters

Choose this if your team is already experimenting with AI but lacks shared language, standards, or evaluation habits.

Leave with

Shared AI fluency, practical context engineering patterns, and a common language for responsible AI usage across the software delivery lifecycle.

Schedule

Upcoming sessions

Sep 1, 2026Tue · 9 AM – 11 AM ET · Virtual
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Oct 6, 2026Tue · 9 AM – 11 AM ET · Virtual
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Dec 2, 2026Wed · 9 AM – 11 AM ET · Virtual
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Private workshopsVirtual or in person · Teams of 20+ · Customizable
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Outcomes

What you'll take back to work

Explain how the agentic SDLC changes the way software teams plan, build, test, and evaluate work

Structure text, screenshots, recordings, tickets, docs, and code as useful context for AI systems

Use prompting as one part of a broader context engineering workflow

Evaluate AI output critically before trusting, sharing, or shipping it

Set up the tools and first reusable skills needed to keep learning beyond the workshop

Curriculum

What we cover

Practical, hands-on modules built from what we run with clients.

The Agentic SDLC Paradigm Shift

  • How traditional software development works: deterministic, operator-centric, and automation layered on top
  • The inversion: automation as a first principle, adaptability over repeatability, and iterability over latency
  • Why this changes how developers, product teams, QA, and leaders need to think and work
  • What to expect from the Foundations track

Mental Models for Working with LLMs

  • How models process context
  • What models know, do not know, and hallucinate
  • Setting realistic expectations about non-deterministic outputs
  • How to decide when to trust, verify, retry, or escalate

Multimodal Inputs

  • Context is not just text: screenshots, recordings, documents, tickets, and unstructured data can all become agent inputs
  • How to think about what you are giving an agent to work with
  • Practical developer examples using product context, UI screenshots, code, and workflow artifacts

Context Engineering

  • What context is and why it matters
  • How prompting fits inside a broader context engineering practice
  • How to structure context for better outputs
  • Context windows, limitations, and trade-offs

Prompt Anti-Patterns

  • Common beginner mistakes
  • Vague prompts vs. specific prompts
  • Over-relying on the model
  • How to write prompts that are useful because the context is clear

Skills, MCP Servers, and Tools

  • What skills are and how they work
  • Building your first reusable skill
  • Skill libraries and organization
  • What MCP is, why it matters, and how to connect your first tool

Mobile AI Workflows

  • Claude and Codex on iPhone
  • Mobile setup and configuration
  • Practical mobile use cases
  • Limitations compared with desktop workflows

Evaluation and Environment Setup

  • How to assess whether an AI response is good
  • Critical thinking about AI output
  • Editor setup, API keys, configuration, and recommended tools
  • Practical exercise: write a prompt that accomplishes a real task using well-structured context

Your instructors

Taught by practitioners

Elliott Fouts

Elliott Fouts

CTO

This Dot Labs

Elliott leads technical direction at This Dot Labs, with a focus on helping engineering teams adopt AI tooling that actually ships. He brings 25+ years in engineering across production AI systems, Claude Code workflows, technical architecture, and team AI adoption.

Jonathan Fontanez

Jonathan Fontanez

Engineering Lead, AI

This Dot Labs

Jonathan is an Engineering Lead, AI at This Dot Labs with 20 years of engineering experience helping teams design, build, and operationalize production software.

Rob Ocel

Rob Ocel

VP, Innovation

This Dot Labs

Rob is VP, Innovation at This Dot Labs with 20 years of experience helping teams adopt emerging technologies and turn new ideas into practical software delivery practices.

Keep exploring

Continue down the AI acceleration path

2/3 · Planning Work & SpecificationsMake the Work Agent-ReadyPlanning work, specifications, and handoffs for people using coding agents.Live and interactive intensive · $299 per participant3/3 · Creating & Managing HarnessesAutomate Without Losing ControlAdvanced patterns for creating automated agents, harnesses, and governed orchestration systems.Live and interactive intensive · $299 per participant

Need the full path?

The Agentic AI Software Delivery Lifecycle Accelerator Program.

Combine all three workshops to accelerate your organization through one connected progression: Foundations, Planning Work & Specifications, and Creating & Managing Harnesses.

Ask about team rollout →

Get certified

Become CAWA Certified.

Complete the full Agentic SDLC Accelerator and earn a practical credential in AI-assisted delivery.

Explore certification →

Tailored & custom workshops

Build a private workshop around your team, tools, and delivery process.

For teams of 20 or more, we can customize the syllabus around your SDLC, current AI tools, codebase reality, product process, governance concerns, and adoption goals.

Get private workshop recommendation →

Get a recommendation

Tell us what your team is trying to change.

Share your team size, current AI usage, workflow pain, and timing. We'll recommend the fastest workshop path: a public seat, a focused private workshop, or the full accelerator.

What happens next

We'll review your goals and reply with the best workshop path, suggested audience, and next steps for scheduling.

Prefer email? Reach us directly at workshops@thisdot.co.