this post was submitted on 18 Mar 2026
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Their models can't replace anyone, its just a fancy autocomplete. Before, we took snippets from GitHub and StackOverflow now it's just a chat. Cool feature, but they overpromised big time.
It’s really not and if you believe it is you need to use it more. The threat is real - don’t underestimate it.
Right. It doesn't need parity with developers, it just needs to be cheap enough to justify the replacement. Also, there are an army of developers right now trying to make it happen, building guardrails and frameworks and even new languages to enable it. If you are an "ok" developer and you don't have a plan B, you're going to be hurting an a few years.
Couldn’t have said it better myself.
I'd feel more threatened if they had a model with persistent memory and realtime adaptability. But even then its not clear if it'll replace engineers. We're still far from that. Until then other tech might emerge like lab grown brains, quantum chips and what not
Right! GraphRAG, VectorDBs, larger context windows, MCP servers, "tools", "skills", and now "using the cli as a user" still havent really solved some of the inherent flaws of even the latest frontier models. SLMs and fining tuning gives me hope on addressing the learning part of machine learning. At least a little more
Let’s talk in 3 years - my round!