AI Assisted Software Engineering
How payment for the event works:
Tickets for this meetup cost N20,000 each.
50% discount available for female attendees and anyone who refers a female developer! You can apply a discount code during payment if you have one.
Pay via Paystack - https://paystack.com/buy/ai-assisted-software-engineering
You’ll be redirected to register on Luma and enter your Paystack reference
We approve attendance within 6 hours
Unpaid registrations won’t be approved.
AI-Assisted Software Engineering & Agentic Coding Tools
AI is no longer just “autocomplete.” It’s becoming part of the full software engineering workflow: researching features before implementation, writing execution specs, building with agentic coding tools, generating tests, and doing code reviews, all while staying grounded in real docs and avoiding the usual failure modes (hallucinations, sycophancy, false confidence).
This is a full-day, hands-on meetup built around practical demos, guided code-alongs, and repeatable workflows you can take back to your team.
What you’ll learn (and practice)
Feature research with AI: explore approaches, constraints, edge cases, and trade-offs before writing code
Execution specs: turning vague ideas into clear, testable implementation plans
Agentic coding tools: AI IDEs, CLI agents, and cloud coding agents (planning → implementation → validation)
MCP in real workflows: using Model Context Protocol integrations (e.g., Figma MCP, Playwright MCP, Chrome DevTools MCP) to give agents real context
Agent skills: how to create reusable “skills”/playbooks (Spec→Plan, Plan→PR, Test Builder, Review Buddy) and invoke them consistently
Testing with AI: unit tests, UI snapshot testing, verification strategies that reduce “AI-written test spam”
AI-assisted code review: catching bugs, risks, performance issues, and spec mismatches — with human verification
Best practices: context engineering, task selection (what to delegate vs. keep human-led), and grounding AI in latest docs.
Who should attend
Software engineers (frontend, backend, mobile, full-stack)
Tech leads / engineering managers who want repeatable team workflows
QA / test engineers interested in AI-assisted verification
Product-minded engineers who want to move faster without breaking things
What to bring
A laptop + charger
Comfort with Git and making small changes in a repo
Optional: an AI-enabled IDE/assistant (we’ll share a pre-event checklist + starter repo with registrants)
Outcome
You’ll leave with:
A practical blueprint for AI-assisted SDLC workflows
Templates for research prompts, execution specs, and review checklists
A working understanding of agentic tools + MCP + agent skills
A clear sense of where AI helps most, and where it can hurt
Digital certificate of participation.
Come ready to network, exchange ideas within this vibrant community. Whether you're a seasoned developer or just starting out, everyone is welcome. We can't wait to see you there!