An online cohort on AI-assisted engineering for senior engineers and architects

You're pointing coding agents at a codebase with a decade of history. How do you know it's making the code better and not just faster to change?

The demos run on empty repositories. Your work doesn't, and the decisions that matter now are about what the agent is allowed to touch, what catches its mistakes before you do, and what happens when it runs unattended in CI. In this cohort, senior engineers and architects from different companies build a harness against a real brownfield codebase, and say what worked and what didn't, in confidence.

Leave with a harness you built on a real codebase, and five weeks of your own measurements telling you whether it worked.

Live online sessions. 4 hours a week, for 5 weeks.

Next cohort: September 18, 2026

Limited places per cohort. Friday, 09:00AM PDT

USD1,470 per cohort
Most companies reimburse for professional development.
Download our "Convince your boss" template.

Zichuan Xiong

Zichuan Xiong

InfoQ Certified AI-Assisted Engineering Cohort facilitator

Premanand Chandrasekaran

Premanand Chandrasekaran

InfoQ Certified AI-Assisted Engineering Cohort facilitator

Zichuan Xiong Premanand Chandrasekaran

Facilitated by Zichuan Xiong and Prem Chandrasekaran

Confidential peer group

Confidential peer group

Apply frameworks from QCon talks

Apply QCon frameworks

Access to 100+ QCon videos

Access 100+ QCon videos

Measure your own results

Measure your own results

InfoQ certification

Earn an InfoQ certification

We’ve helped thousands of senior software engineers, software architects and technical leaders adopt the right patterns & practices for over 20 years.

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Upcoming AI-Assisted Engineering cohorts

September

One 4-hour session a week · 5 weeks

InfoQ Certified AI-Assisted Engineering Program

(PST - Los Angeles time)

  • Calendar Dates: Sep 18, 25, Oct 2, 9, 16
  • Clock Time: Friday, 09:00AM PDT
  • Location Location: Online (Zoom)

October

One 4-hour session a week · 5 weeks

InfoQ Certified AI-Assisted Engineering Program

(PST - Los Angeles time)

  • Calendar Dates: Oct 19, 26, Nov 2, 9, 16
  • Clock Time: Monday, 09:00AM PDT
  • Location Location: Online (Zoom)

Most companies reimburse for professional development.
Download our "Convince Your Boss" template.

Teams are adopting coding agents faster than they're building the verification around them. The harness is everything outside the model: the permissions, the sensors, the review gates, the CI checks that let an agent correct itself before a human ever sees the change. Over five weeks you build one against a real codebase, and senior engineers from other companies tell you where yours is thin.

Zichuan Xiong
InfoQ Certified AI-Assisted Engineering Cohort facilitator

Zichuan Xiong, AI-Assisted Engineering cohort facilitator

The 5-week learning journey.

The 5-week AI-Assisted Engineering learning journey

WEEK 1:

Comprehending the Codebase, Onboarding the Agent

Use an agent to understand an unfamiliar brownfield codebase, and capture what you learn as durable context files. Onboard the agent like a new team member: least-privilege permissions and sandboxing.

WEEK 2:

Making the Change Well

Turn a thin ticket into a requirement an agent and a reviewer can verify against. Add characterization tests and the sensors that let the agent correct itself.

WEEK 3:

Independent Verification Before a Human Sees It

Separate generation from review. Use an independent review harness rather than asking the generating agent to grade its own work, then triage what actually needs a human.

WEEK 4:

Integrating: CI as the Team's Harness

Move verification from your own loop into the pipeline. Place each sensor by cost, add drift and health checks, and govern agents running unattended in CI.

WEEK 5:

Propagating and Proving It

Codify recurring review findings into rules a new team could adopt. Then compare five weeks of your own logged data against what you predicted in week one. The session also covers the capstone presentations.

Who this program is for

These online cohorts are for senior engineers and architects who already use a coding agent daily and have hit the point where the interesting questions aren't about prompts. They're about what the agent is allowed to do, what catches it when it's wrong, and how you'd prove to your organization that any of it is working.

Designed for:

  • Senior Software Engineers
  • Staff and Principal Engineers
  • Software Architects (Technical/Solution)
  • Technical Leads
  • Platform, Developer Experience, and SRE Engineers
  • Engineering Managers responsible for delivery practice
  • Engineering Directors setting engineering standards
Senior engineers and architects collaborating in an online cohort session

How each week works

Each week, you apply a framework from a QCon talk to the agent workflow you're running at work, alongside senior engineers and architects from different companies.

Format

1

Watch a QCon talk on your own time before the session.

2

Join a 4-hour live session with your facilitators and your cohort.

3

Apply the framework to a real brownfield codebase, sharing what worked and what didn't with the group.

4

Take away something you can use at work that week.

Time commitment

4 hours of live sessions per week, plus time-boxed homework (max 2 hours). Designed to fit around your work.

Capstone project

Throughout the cohort, you build a harness on a brownfield codebase and log your own results as you go. In week 5, you present it to the cohort.

What you'll get.

Applying QCon frameworks in group exercises

Use it this week

Apply frameworks from QCon talks to real agent workflows in group exercises. Sessions are 4 hours per week.

Working through decisions with a senior peer group

Better decisions

Work through permissions, sensors, and review gates with engineers from different companies, industries, and contexts.

Comparing five weeks of logged results against week-one predictions

Prove it worked

Log your own work for five weeks and compare it against what you predicted in week one, rather than guessing whether the agent helped.

Earn an InfoQ certification in AI-assisted engineering

Get certified

Earn an InfoQ certification as proof of your work on AI-assisted engineering.

Your facilitators: Zichuan Xiong and Premanand Chandrasekaran

Zichuan Xiong

InfoQ Certified AI-Assisted Engineering Cohort facilitator

Zichuan Xiong has led architecture and delivery work since 2008 and now builds agentic AI systems for software operations, working with technology and product leaders on where AI capability actually lands. He teaches harness engineering at QCon San Francisco.

Credentials

  • Head of AIOps
  • Architecture and delivery leadership since 2008
  • QCon San Francisco trainer, AI-native development and harness engineering

Premanand Chandrasekaran

InfoQ Certified AI-Assisted Engineering Cohort facilitator

Premanand Chandrasekaran has spent two decades leading engineering teams across financial services, online retail, education, and healthcare, with a focus on continuous delivery and internal quality. He teaches harness engineering at QCon San Francisco.

Credentials

  • Head of Technology
  • Two decades leading engineering teams in financial services, retail, education, and healthcare
  • QCon San Francisco trainer, AI-native development and harness engineering

Frequently asked questions

Will the sessions be recorded?

No. Sessions are not recorded. This is a deliberate choice to keep all conversations private and confidential, so that participants feel safe sharing real challenges, ongoing decisions, and truthful perspectives from their organizations.

What happens if I miss a session?

Participants are expected to attend at least 4 out of the 5 live sessions. Consistent attendance is one of the criteria for receiving your InfoQ certification.

If you do need to miss a session:

  • Connect with your peers through the private Slack channel to catch up on key discussions.
  • Review the session materials and slides shared in the Google Drive folder.
  • Complete the homework assignment for that week.
  • Post any questions in Slack — your facilitators, peers and the InfoQ team will be available to help.
Who can I contact for questions relating to payment?

You can contact us for any payment questions at payments@qconferences.com .

What payment methods do you accept?

We accept PayPal and major credit cards. A payment charged to your credit card or PayPal account is processed directly by us in the funds stated on the website.

What are the Terms of Participation?

The Terms of Participation can be found at https://certification.qconferences.com/terms-conditions .

What is the Cancellation and Refund policy?

Registration fees are not refundable.

Do you offer a template to help convince my boss?

Yes, we've developed a template you can use to explain to your boss how you can benefit from the cohort participation.

Do you offer in-person cohorts as well?

Yes, in-person cohorts are offered at select QCon conferences, such as QCon London and QCon San Francisco.

Can I pay for tickets by invoice?

You can opt to pay by invoice during the registration process by selecting the "Do You Want to Pay Later by Invoice?" checkbox.

Your invoice reflects the ticket price in effect at the time your payment is due. Invoices are generally due 30 days from the date the order is submitted, or 7 days before the event start date—whichever comes first. To ensure all funds are cleared, the "Pay by Invoice" option will be disabled 14 days prior to each event (subject to change without notice). All invoices must be paid in full no later than 7 days before the event begins.

Please note that only participants who have paid in full will be admitted or receive access credentials. Credit card or PayPal payment is required if you are registering after the invoice deadline or prefer immediate confirmation. Once processed, a receipt marked "Paid" will be emailed to you for your records.

What is the Privacy Policy, and how is my data being protected?

Our Privacy Policy details how we collect, use, and protect your data. You can find it at https://www.infoq.com/privacy-policy .

Can I register as a freelancer or self-employed professional?

Yes. The program is open to freelancers and the self-employed. When registering, simply enter your trading name or "Independent" in the Company Details section.

Who is behind the InfoQ Certified AI-Assisted Engineering Program?

The program is a collaborative initiative between InfoQ and QCon, both of which are practitioner-driven brands owned by C4Media Inc.

What is InfoQ?

InfoQ is a practitioner-driven community news site focused on facilitating the spread of knowledge and innovation in professional software development.

Are scholarships or complimentary seats available?

We do not offer scholarships or complimentary seats for the InfoQ Certification at this time. Should this change for future cohorts, we will announce it via our official channels.

What is the code of conduct?

We are dedicated to providing a safe and inclusive experience for everyone. Our Code of Conduct can be found at https://certification.qconferences.com/code-conduct .

How will I gain access to the online cohort sessions?

Participants who registered for the online cohorts will receive an email with detailed instructions on how to join the sessions during the week prior to the start of the cohort.

What are the technical requirements for participation?

To ensure an optimal experience, you will need:

  • A stable internet connection: high-speed access for video conferencing.
  • Zoom: the latest version of the Zoom desktop client.
  • Slack: access to our private workspace for peer networking and coordination.
  • A laptop or desktop: while mobile devices are supported, a computer is highly recommended for collaborative work and session participation.
  • Your own coding-agent access for the hands-on exercises. The training anchors on Claude Code, and we recommend Claude Max or API access; the principles transfer to Cursor, GitHub Copilot, and other agents.
How is the program structured?

The program consists of five live sessions held over five weeks, each lasting four hours, plus weekly assignments and a capstone you build across the five weeks.

Are there any discounts for Certification alumni?

Yes, alumni enrolling in a second Certification program receive a $147 discount. To claim your alumni code, please email certification@qconferences.com when ready to register for your second program.

What is the weekly time commitment?

Each weekly session is a 4-hour live session. This is a significant time investment because we apply frameworks to real-world challenges alongside your senior peer group.

Is this just another course?

This program assumes deep technical expertise and daily use of a coding agent. Each week is structured around a real change in a real codebase. The focus is working through decisions with peers, articulating tradeoffs, and making hard-to-reverse calls.

Why a cohort instead of just watching the talks?

Some of the most valuable learning happens in peer discussion. Hearing how others think through similar challenges can be just as useful as the session content itself.

Learning with a peer group gives you different perspectives, helps you build confidence, and makes it easier to apply what you learn in your own work. That's why this program is designed around a confidential peer group, live exercises, and expert facilitation, and not just self-paced study.

This cohort gives you the confidential peer group and experienced facilitators to do that work, and you'll earn the InfoQ Certified AI-Assisted Engineering Program certification as a result.

What is the Capstone project?

You work a single brownfield repository across all five weeks, building the harness piece by piece. In week 5 you present it to the cohort. What you submit is the harnessed repository, one rule or agent skill you codified from your own recurring review findings, and a write-up comparing your logged results against your week-one predictions.

What are the criteria for receiving the certification?

Certification is awarded for consistent attendance and active participation in the live sessions, plus successful completion of the week 5 submission: the harnessed repository, the codified rule or agent skill, and the measurement write-up.

How do I earn the certification?

Certification is awarded based on active participation in the cohort and completion of the week 5 capstone submission.

Who is this cohort for?

Senior, lead, and principal engineers, staff engineers, software architects, technical leads, platform and SRE engineers, and engineering managers and directors with at least 5 years of experience who are already using coding agents on production code.

What is harness engineering?

The harness is everything in an AI coding agent except the model: the context you give it, the permissions it runs under, the sensors that catch mistakes, and the review and CI gates it has to pass. The term came out of OpenAI's write-up on their internal agent infrastructure in early 2026 and was extended by Birgitta Böckeler's guides and sensors model on martinfowler.com. This cohort is five weeks of building one against a real codebase.

Which coding agent do we use?

The hands-on exercises anchor on Claude Code, and we recommend Claude Max or API access. The principles transfer to Cursor, GitHub Copilot, and other agents, so you can follow along with the agent your team already uses.

Do I work on my own codebase or a shared one?

You build the harness against a shared brownfield capstone repository provided for the cohort, so everyone works from the same starting point and can compare approaches. The techniques are designed to carry straight back to the codebase you work in day to day.

How is this different from the AI Engineering cohort?

The AI Engineering cohort is for engineers building AI systems: RAG and context pipelines, agent design, evaluation, and the infrastructure underneath them. This cohort is for engineers building any software with the help of coding agents. If you ship a product that has AI in it, start there. If you ship a product that AI helps you write, start here.

InfoQ online cohorts

AI Engineering

Building AI systems that hold up in production. AI-native engineering, RAG and context pipelines, AI agents, platform and infrastructure, evals and reliability.

Download Syllabus

Date: Dates to be announced

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