Trusted by teams
Get certified
Complete the full Agentic SDLC Accelerator and earn a practical credential in AI-assisted delivery.
CAWA certification signals that participants can move beyond prompt experiments and design, evaluate, and govern AI-assisted workflows across the software delivery lifecycle - from prompting and context engineering to agent-ready specs, harnesses, evals, telemetry, quality gates, and governance.
Valid for 2 years
Third-party verified
Complete the full Agentic SDLC Accelerator and earn a practical credential in AI-assisted delivery.
Unify Engineering, Product, and Design
Most teams are already using AI. Few are using it with the same language, standards, or workflow.
The Agentic SDLC Accelerator gives every software delivery lifecycle stakeholder a shared foundation, then goes deeper where each role needs it: planning, specs, handoffs, testing, engineering workflows, automation, and governance.
Each workshop can stand alone, but the full series creates a practical path from scattered AI usage to agent-ready work and governed automation.
Need the full path?
Run all three workshops as a connected path so your organization moves from scattered AI usage to shared fluency, agent-ready planning, and governed automation.
Ask about team rollout →Find the right starting point
Some teams need shared AI fluency. Some need better specs and handoffs. Some are ready to automate but need guardrails. Start with one workshop, or run the full progression privately with your team's workflow and tools.
Tailored & custom workshops
For teams of 20 or more, we tailor examples around your SDLC, tools, codebase, policies, handoffs, and adoption goals so participants leave with patterns they can use immediately.
Private sessions · Custom syllabus
Book a team workshop consult →“This Dot Labs gave me some great techniques for getting much better code out of LLMs, getting it faster and more passively. As a result I've gotten our test coverage up, gotten more confidence in our LLM-generated code, and have a path for developing higher-quality code with minimal effort going forward.”
“Some of us came in thinking this was going to be another prompt workshop, but it wasn't. The workshop gave our team a shared way to think about AI, better specs for coding agents, and better ways to implement test coverage. Way more useful than generic AI training.”
“I've used This Dot's consulting services for years to provide subject matter experts for my company. I was initially attracted to their services due to their extensive industry involvement, including developer advocacy, training, professional meetups, live streaming content, and technical articles. This Dot has amazing industry connections, enabling them to consistently secure world-class presenters.”
02 / Schedule
Private team training
Private workshops are the fastest path for groups of 20 or more. We adapt the examples, exercises, and rollout plan around your team's tools, workflow, and AI maturity.
A two-day immersive program that helps engineering, product, and design teams move from scattered AI usage to repeatable AI-assisted delivery workflows.
Bring 20 or more people and we'll tailor the workshop path, examples, and session timing around your software delivery lifecycle.
04 / Why this exists
AI enablement for teams that need to shipMost AI training stops at prompting. That is not enough for teams responsible for real software delivery.
AI training that stops at prompting does not solve the real adoption problem. Software teams need shared standards for context, specs, review, QA, security, governance, and automation.
This accelerator teaches the operating model behind AI-assisted delivery: how work gets planned, handed off, generated, reviewed, tested, and improved when humans and agents share the workflow.
We teach the whole system, not just prompting
Prompting matters, but it is only the interface. Teams also need context engineering, agent-ready specs, handoff design, evals, quality gates, telemetry, trust boundaries, and human-in-the-loop decision points.
We go beyond beginner AI adoption
Most workshops stop at "write better prompts." This Accelerator goes deeper into the patterns teams need next: coding-agent workflows, subagents, harnesses, workflow decomposition, eval discipline, automation design, and governance.
We design for production realities
AI-assisted work still has to survive code review, QA, architecture review, security constraints, compliance requirements, and executive scrutiny. The Accelerator teaches teams how to create workflows that are reviewable, testable, and defensible.
We understand the executive and delivery sides of AI
AI adoption is not just a developer productivity problem. It affects how leaders set strategy, how product defines work, how design hands off context, how QA validates output, how engineers automate workflows, and how organizations govern risk.
We are teaching from the frontier of modern software delivery
These workshops are led by senior practitioners working at the edge of AI-assisted and agentic software development. Participants learn the patterns teams are using now to move from scattered experimentation to reliable, governed AI-enabled delivery.
05 / Questions
Still have a question? We're happy to answer directly.
Ask us →Start with the workshop that matches your team's current AI maturity. If your team is using AI inconsistently or needs shared language, start with AI Is Already in Your SDLC. If your team is already using AI but struggling with specs, tickets, handoffs, or coding-agent reliability, start with Make the Work Agent-Ready. If your technical teams are ready to move beyond one-off prompting into automation, start with Automate Without Losing Control.
You can do either. Each workshop stands alone, but the full Accelerator is designed as a connected progression. Teams first build shared AI fluency through AI Is Already in Your SDLC, then learn how to create agent-ready work in Make the Work Agent-Ready, and finally move into governed automation through Automate Without Losing Control.
The Accelerator is built for EPD teams and their cross-functional partners. AI Is Already in Your SDLC is for anyone involved in software delivery. Make the Work Agent-Ready is best for product, design, QA, delivery, engineering leads, and developers using coding agents. Automate Without Losing Control is best for senior engineering, architecture, platform, DevOps/SRE, QA automation, security, and technical leaders.
No. AI is changing the entire software delivery lifecycle, not just code generation. Product, design, QA, delivery, and leadership teams need shared fluency and better ways to structure work for AI-assisted execution. Automate Without Losing Control is the most technical workshop, but AI Is Already in Your SDLC and Make the Work Agent-Ready are designed for cross-functional software teams.
Prompting is only the foundation. The Agentic SDLC Accelerator focuses on how AI changes the way software is planned, designed, built, tested, reviewed, automated, and governed. Teams learn prompting, but they also learn context engineering, agent-ready specs, human-in-the-loop checkpoints, coding-agent workflows, harnesses, evals, telemetry, quality gates, and governance.
No. AI Is Already in Your SDLC is designed for teams that are still building baseline AI fluency. Make the Work Agent-Ready and Automate Without Losing Control are more valuable when teams are already experimenting with tools like ChatGPT, Claude, Cursor, Codex, GitHub Copilot, or internal AI systems and want a more structured way to use them.
Depending on the workshop, teams leave with shared AI fluency, prompting patterns, agent-ready spec templates, context-slicing patterns, task taxonomies, automation candidates, governance models, and practical next steps for applying AI across the software delivery lifecycle. The goal is not just inspiration. It is usable patterns your team can apply immediately.
Yes. Teams that complete the full Agentic SDLC Accelerator can add a certificate option to recognize completion of the full progression across Foundations, Planning Work & Specifications, and Creating & Managing Harnesses.
Yes. Private workshops can be adapted to your team's tools, workflow, codebase context, AI maturity, security requirements, and business goals. The strongest versions use your real software delivery lifecycle patterns, artifacts, and use cases so participants leave with examples that map directly to how your team works.
03 / Trusted by teams
Sentry
“This Dot's team worked side-by-side with our own product development group, helping us bring a key product offering to market on time and with a high quality bar.”
“This Dot has been very proactive and effective in managing tight deadlines and delivering functional solutions. The team gets things done.”
Roblox
“This Dot leadership is hands-on from start-to-finish, and they will not sacrifice quality for short-term gains. If you lead a team of force-multipliers and need additional support, This Dot is the smart partnership choice for teams.”
Chainlink
“We had the pleasure of working with ThisDot on a range of projects, from full-stack blockchain applications to self-service developer portals, and the experience has been nothing short of outstanding. They made the entire process smooth and efficient, always ensuring that our needs were met with minimal friction. Their deep knowledge of every stack we required was impressive, and their ability to match our urgency and stay aligned with our roadmap made them invaluable partners. We highly recommend them for any development needs!”
Made in House
“We couldn't ask for a better development partner. Your work on the Chipotle Unfolded website in partnership with Made in House was nothing short of awesome, and you made it happen in record time.”
Cloudinary
“This Dot Labs played a critical role in bringing MediaJams to life. Their team demonstrated deep expertise in Jamstack and modern frameworks, helping us build a seamless and dynamic developer learning platform. From integrating complex technologies like NextJS to providing scalable workflows, This Dot consistently delivered innovative solutions that enhanced the user experience. Their reliability and expertise were key to our success.”
Get a recommendation
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.
We'll review your goals and reply with the best workshop path, suggested audience, and next steps for scheduling.
If you are still exploring the AI adoption landscape, join our practitioner events for executive and engineering leaders. If you are ready to train a team, book a private workshop consult.