Workshops — Riajul Islam

W.01 · SIGNATURE
Most requested

AI-Native Engineering Transformation

The full program I ran at Rokomari. A multi-session engagement that turns a team from "uses AI tools" into "AI is structurally part of how knowledge flows and work happens."

What we build together

Shared memory engine — a central hub that compounds every agent's discoveries, decisions, and debugging insights across the team
Democratized agent access for engineers at every level, not just the AI-curious ones
Context management, skills, sub-agents, AGENTS.md — the practical patterns
Guardrails, review loops, and metrics that actually reflect delivery
Live MR walkthroughs — shipping in real time, not case studies

Format4–6 sessions

AudienceFull eng org

ModeOn-site (Dhaka)

OutcomeTeam-wide shift

W.02
Technical deep-dive

Agent-based Dev Environments

The infra layer most teams skip. Sandboxed, reproducible, multi-tenant environments where engineers' agents can work safely — without touching prod, leaking secrets, or stepping on each other.

Stack we set up

MicroK8s + Sysbox — container-in-container without privileged mode
Coder workspaces provisioned per engineer, per task
Vibe Kanban as the agent orchestration surface
GitLab webhook integration — agents spawn on issues, MRs, comments
Secrets, RBAC, and the VSCODE_PROXY_URI wildcard patterns

Format2 days

AudiencePlatform / Infra

ModeOn-site or remote

OutcomeRunning envs

W.03
For leadership

Fear Not, Embrace AI

The internal tech talk I delivered at Kahf, adapted for your leadership team. Non-theatrical framing of what changes, what doesn't, and how to measure real delivery impact — not vanity metrics.

What we cover

What "AI-native" actually means, structurally
Why most AI-tool rollouts stall at individual productivity
Org-level KPIs that matter — and the ones that don't
Risk, guardrails, and the honest trade-offs

Format90 min + Q&A

AudienceCTOs, VPs, EMs

ModeRemote or on-site

OutcomeAligned leadership

W.04
Custom

Team-specific advisory

When your team's situation doesn't fit a packaged workshop. Typical engagements: code-review agent design, voice AI prototypes, legacy-to-modern migration architecture, full CTO advisory.

How it works

Scoped by call — typically 2–6 weeks, part-time
I read your codebase and agent setup before day one
Deliverables in MRs and docs, not decks
Trusted by returning clients who specifically requested my involvement

FormatRetainer

AvailabilityLimited

Start2–3 weeks out

Help your team become AI-native.