Lex AIMeridianby Lex AI

AI-Powered Software Development

This course covers the agent loop and the toolchains built on it, embeddings and attention, inference and reasoning, hallucination and evaluation, model comparison, tool contracts, and multimodal and realtime work — the mechanisms underneath building software with AI, each one rebuilt in code that runs in the page.

Prerequisites

  • You ship in at least one language, and are comfortable with pull requests and CI
  • Basic familiarity with HTTP APIs and relational databases; no machine-learning background assumed
  • No API key required — the labs are cost models and simulations that run in the browser
Course mapHover any lesson to see why it matters

Prerequisites

A production language, Git, code review & CI

Comfortable shipping in at least one language, and with pull requests and continuous integration

HTTP APIs & relational databases

Basic familiarity — no machine-learning background required

No API key required

The labs are cost models and simulations you run in the browser; nothing calls a live model

Lessons

01Beginner

AI Coding Agents Essentials

An agent is a loop — and the loop is where cost and failure live

02Intermediate

Advanced AI Toolchains & Automation

Deterministic scaffolding around a non-deterministic worker

03Intermediate

Transformers & Embeddings

Every layer of the stack was tuned on prose. Code is not prose.

04Intermediate

Attention Mechanisms & Context

The n×n matrix is the thing everything else exists to avoid

05Intermediate

Inference, Prompting & Reasoning

Three of the four things you would reach for produce confidence, not correctness

06Intermediate

Hallucinations & Evaluation

The metric cannot see the failure it is trusted to catch

07Intermediate

Comparing Models

The ranking you read was measured on someone else’s codebase

08Intermediate

Function Calling & Tool Contracts

Every guarantee is about the form of the call, never its meaning

09Intermediate

Multimodal & Real-Time

Each modality converts at its own rate and arrives on its own deadline

Unlocks

Steering an agent deliberately

Done conditions, tool schemas, and rules files stop being folklore once you can see the loop they act on

Judging an agent claim

Benchmark scores, context-window numbers, and cost comparisons all become checkable rather than persuasive

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