Blog on Kodelet

When Your AI Agent Just Goes Off and Does It

Mon, 30 Jun 2025 00:00:00 +0000

Imagine you pose a casual question to a colleague about their approach to something - not expecting them to actually do it, just wanting to understand the method. A few minutes later, they return with the task not only completed but with a clear walkthrough of their process. Your reaction? It might depend on the person and the context, but I’d argue this behaviour is the hallmark of a high-agency top performer — someone who sees a problem and instinctively moves to solve it.

Building a Meta AI Agent: The Understated Power of LLMs in a Feedback Loop

Thu, 19 Jun 2025 00:00:00 +0000

It looks like magic when you witness AI agents autonomously viewing files, making edits, executing commands, and working around errors. However, under the hood, the core loop is surprisingly simple: it runs a continuous cycle that takes user input, generates tool calls and text output, receives feedback from tool execution, feeds the result back to the LLM, and repeats. The complexity lies not in any orchestration, but in the sophisticated reasoning capabilities of the frontier labs’ large language models.

Running an army of AI coding agents on the CI

Wed, 04 Jun 2025 00:00:00 +0000

Overview
TL;DR
Background
Climb The Complexity Ladder
Just Do It
Implementation
Conclusion
Acknowledgement

Overview

This post explores how to deploy and manage multiple AI coding agents with minimal infrastructure and maintenance overhead by leveraging continuous integration (CI) systems. I’ll demonstrate how to orchestrate agent workflows using GitHub Issues and Pull Requests as the primary interface for task assignment and coordination.

TL;DR

Spoiler

Add the following to your .github/workflows/kodelet-background.yml, In return you will have an army of AI coding agents working on your behalf:

Prompt Techniques I Like for Coding

Tue, 27 May 2025 00:00:00 +0000

I’ve been programming using AI Agents tools such as Cursor over the past year, and Kodelet (a tool I dogfood myself) lately exclusively.

Looking back, it’s remarkable how LLMs as a generational leap in technology have pushed us from relying on “tab tab tab” autocomplete just a few years ago to now having AI agents that can write entire programs autonomously with just a simple prompt.

As a developer who constantly coding with AI, I’ve started building intuition around what works and what doesn’t over this time. In this article, I’ll share some prompt techniques I use to make AI do more of the heavy lifting for me.