My Brief History of AI Coding

2026-02-15 · Source: AI Advances - Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

The author details a three-year evolution in AI-assisted coding, transitioning from early experiments with ChatGPT in 2022, which involved manual debugging of Python code for endurance models, to using ChatGPT Code Interpreter for GPS data analysis. By 2024, the workflow shifted to manual integration with Cloud AIs, requiring extensive prompt refinement and copy-pasting. A significant change occurred in August 2025 with the adoption of agentic AI, specifically Claude Code, enabling the development of a large-scale logic programming engine, "Cyclops Storm" Prolog, comprising tens of thousands of lines of Python code within six months. This shift highlights a move from AI as a tool to AI as a collaborator, expanding the scope of solo projects and fostering a more exploratory, declarative coding paradigm.

Key takeaway

For software engineers considering AI for large-scale projects, recognize that agentic AI fundamentally alters project scope and workflow. You should prioritize early, comprehensive planning and embrace a declarative coding style, defining clear success criteria rather than micro-managing implementation details. This approach allows for greater experimentation and can lead to more robust, enjoyable outcomes, even with less direct intervention on your part.

Key insights

Agentic AI transforms coding from a tool-assisted task into a collaborative, exploratory process.

Principles

• Plan big and early for projects expected to grow.
• More intervention is not always better with agentic AI.

Method

Shift from imperative to declarative development: define requirements, tests, and success criteria, then let the AI agent iterate to satisfy conditions.

In practice

• Use AI to flesh out project specifications early.
• Define success criteria for agentic AI, not explicit steps.

Topics

• AI-assisted Software Development
• Agentic AI
• Declarative Programming
• Claude Code
• AI Collaboration

Code references

• Nate-BadScienceFiction/Bad-Science-Fiction

Best for: Software Engineer, Machine Learning Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Advances - Medium.