Practical AI Coding Workflows: Agents, Context & Shipping

Name: Practical AI Coding Workflows: Agents, Context & Shipping
Price: 5000 NGN
Availability: InStock
Rating: 5.0 (1 reviews)

Master AI coding agents, model selection, terminal setup, and real workflows for shipping production code faster.

5.0 rating

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2 students

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21 min

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Self-paced

BInstructor: Blessing Nneoma Ikechukwu

Practical AI Coding Workflows: Agents, Context & Shipping — course preview

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About This Course

Every developer is being told to "use AI" almost none are shown how to actually build a reliable workflow around it. This course closes that gap: picking the right agent and model for the task, giving your AI real context, running a repeatable build process, and shipping code you'd actually stand behind. In this course, you'll: Choose the right AI coding agent (IDE-native, terminal-native, or autonomous) and model tier for any given task and build a deliberate personal stack instead of a pile of subscriptions Set up a modern, AI-ready terminal built to handle long-running agent sessions Built for: working developers, CS students, and freelancers who already know how to code and want a real, professional workflow for building with AI not another "learn to code" beginner course.

What You'll Learn

Distinguish between IDE-native, terminal-native, and autonomous/cloud AI coding agents, and match each to the right task

Choose the right AI model tier — fast/cheap, mid-tier, or frontier/reasoning — based on task complexity, and split work across tiers

Set up a modern, AI-ready terminal environment, including session persistence with a terminal multiplexer

Audit their current tools and build a deliberate 2–3 tool AI coding stack instead of an unmanaged pile of subscriptions

Requirements

Basic programming experience in any language and comfort using a code editor
A computer capable of running a modern IDE and terminal
Access to at least one AI coding tool (free tiers work fine — specific options are covered in Lessons 3 and 4)
Willingness to complete hands-on exercises using your own real code, not toy examples