Best Practices in Agentic Engineering

Learn how to use coding agents to build, automate, and ship software faster — led live by Koder's founder, a former White House AI transformation engineer.

4.6/5 average participant rating of aixplain academy programs · 98% would recommend or strongly recommend aixplain academy programs to friends

Who This Is For

CTOs, VPs of Engineering, and heads of platform & architecture
Senior, staff, and lead engineers
Security, legal, procurement, and AI/data platform leads

Program Benefits

A practical, hands-on learning experience: A live, virtual workshop where you leave with a selection decision, an access and governance policy, a measurement set, and a 90-day plan for coding agents in your organization.
Learn from top-tier speakers and faculty: Engage directly with practitioners and experts drawn from industry, not just theory.
Membership in the aixplain alumni community: Stay current on AI, exchange experiences, and keep learning alongside a network of professionals long after the program ends.
Certificate of Attendance: A credential you can add to your profile and share with your employer.
Access to the AI Agent Library: A ready-to-use collection of AI agents you can draw on in your own workflows.
Invitations to exclusive events: Ongoing access to gatherings with AI practitioners to keep building your skills and connections.

Program Design

Learning Objectives

By the end of the program, participants will be able to:

01Make the case for coding agents in business terms — and be clear about where they don't yet deliver.

02Apply a selection framework to choose the right agents and models for your context, including build-versus-buy and exit risk.

03Route work to the appropriate model by task class, managing context and token consumption as a deliberate cost and quality lever.

04Decompose engineering work into agent-sized tasks and run multiple agents in parallel without creating integration or merge chaos.

05Identify what in your repositories, tests, CI, and tooling needs to change before agents can perform reliably, and leave with a backlog of those changes.

06Apply a review and verification standard for agent-generated code, recognize the failure modes that pass a casual read, and size review capacity to throughput.

07Evaluate deployment topology, data residency, IP, and vendor terms against your regulatory and risk appetite.

08Define who gets access, at what autonomy tier, with which approval gates and audit trail.

09Choose outcome metrics and cost controls that show whether adoption is actually working — and reject the vanity metrics that suggest it is.

10Position coding agents inside your organization's wider AI platform and governance model, rather than as shadow tooling.

Tuition

$99 / person

Format & Delivery

Virtual

Session Dates

24 Sep 2026, Thursday, 4pm – 6:30pm KSA

Live via Zoom · time for prayer and breaks provided

4.6/5 average participant rating of aixplain academy programs · 98% would recommend or strongly recommend aixplain academy programs to friends

“A very helpful workshop.”

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4.6/5

average participant rating of aixplain academy programs

98% would recommend or strongly recommend aixplain academy programs to friends

“The course gave me a much deeper view of what agents are, why they matter to both business and personal life, and how to mitigate the blockers that come up along the way.”

“A very insightful learning experience that made me think differently about agentic AI, in ways I hadn’t considered before.”

“A must-attend session, even for fresh graduates — highly insightful on how AI will impact core functional roles.”

“AI will be the critical edge for every business in the world — and aiXplain can carry both the company and its people into that future.”

Participants joined from organizations includingAccentureCareemCroweKAUSTGOSIHamad MedicalSyriatelSee all testimonials →

Program Faculty

Core Faculty

Miqdad Dali

Field CTO, aiXplain

Leads technical strategy, oversees AI solution architecture, and bridges client needs with product capabilities. Expertise in enterprise AI adoption, technical strategy, and scalable solution delivery.