How can companies adopt AI coding tools in a way that is sustainable for software, engineering teams and developers? Mistakes that are happening now.
Posted by haricane8133@reddit | ExperiencedDevs | View on Reddit | 19 comments
I recently wrote a long article with my thoughts on how AI-assisted software development is currently being handled inside many companies. As a relatively junior developer, my thoughts and obervations may be wrong; posting here to pick your brains and experience.
Topics discussed in the article are
1. Sustenance of software, teams, developers - how do we regulate usage of proper AI so that we do not self destroy ourselves
2. What are true innovations? Why are developers pressured to showcase every minor win? (which just might be using a claude feature)
3. There are a plethora of tools and feature? What is a good way to learn and grow in AI as a software engineer.
4. How to measure success? Why wrong / poor AI usage metrics collection by top management, are causing damage.
This is not an anti-AI take. I use AI coding tools, and I’ve gone through my own small version of the agentic coding hype cycle: from refusing to use ChatGPT, to getting excited when I could leave an end-to-end SDLC-style coding workflow running overnight, to eventually realizing that even that was not enough.
I strongly feel that the developers who benefit most from AI are not just people who can use AI agents well. They are people who already have strong judgment across system design, debugging, domain knowledge, legacy codebases, tooling, infrastructure, and how LLMs behave.
The pressure to use more and more abstracted high level multi agent orcheestration tools or harnesses is growing, which doesn't seem to help as well.
Here is the article itself - [https://x.com/haricane8133/status/2062196783330312296](https://x.com/haricane8133/status/2062196783330312296) . Would love to have a conversation, or just feel free to vent about what you are going through!
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