LLM on Ikwuka Okoye

Building Reliable Tool Use into an AI Agent

Sun, 09 Aug 2026 00:00:00 +0000

Building Reliable Tool Use into an AI Agent

The moment an AI agent needs to interact with something outside the language model, tool use becomes central to its design.

A model can explain how to query a database.

It cannot query the database unless the surrounding application gives it a mechanism to do so.

That mechanism is the tool.

Why Tools Matter

A language model operates primarily through generated information.

Designing the Architecture of an AI Agent

Sun, 09 Aug 2026 00:00:00 +0000

Designing the Architecture of an AI Agent

Building an AI agent is very different from building a simple application that sends a prompt to a language model and displays the response.

A useful agent needs to do more than generate text. It needs to interpret a goal, decide what should happen next, use tools when necessary, maintain enough state to complete the task, observe the result, and recover when something goes wrong.

Managing Memory and State in an AI Agent

Sun, 09 Aug 2026 00:00:00 +0000

Managing Memory and State in an AI Agent

An AI agent becomes significantly more useful when it can maintain context across multiple steps.

But “memory” is often used too loosely.

For an engineer, it is more useful to distinguish between the different kinds of information an agent needs to retain.

Some information belongs to the current execution.

Some belongs to the conversation.

Some may need to persist beyond the current session.

AI Agent

Fri, 10 Jul 2026 00:00:00 +0000

Overview

AI Coding Agent is a command-line developer tool built to explore how modern AI agents can reason about software projects and assist with real-world engineering workflows.

The project focuses on the practical foundations of an AI-powered coding assistant: understanding a repository, processing developer instructions, reasoning about available context, and producing useful actions or code changes.

Rather than treating an LLM as a simple text-generation interface, the project explores the architecture required to turn language models into practical software-engineering agents.