Comment by locknitpicker
16 hours ago
> The author's post is much more than just "planning with clarity".
Not much more, though.
It introduces "research", which is the central topic of LLMs since they first arrived. I mean, LLMs coined the term "hallucination", and turned grounding into a key concept.
In the past, building up context was thought to be the right way to approach LLM-assisted coding, but that concept is dead and proven to be a mistake, like discussing the best way to force a round peg through the square hole, but piling up expensive prompts to try to bridge the gap. Nowadays it's widely understood that it's far more effective and way cheaper to just refactor and rearchitect apps so that their structure is unsurprising and thus grounding issues are no longer a problem.
And planning mode. Each and every single LLM-assisted coding tool built their support for planning as the central flow and one that explicitly features iterations and manual updates of their planning step. What's novel about the blog post?
A detailed workflow that's quite different from the other posts I've seen.
> A detailed workflow that's quite different from the other posts I've seen.
Seriously? Provide context with a prompt file, prepare a plan in plan mode, and then execute the plan? You get more detailed descriptions of this if you read the introductory how-to guides of tools such as Copilot.
Making the model write a research file, then the plan and iterate on it by editing the plan file, then adding the todo list, then doing the implementation, and doing all that in a single conversation (instead of clearing contexts).
There's nothing revolutionary, but yes, it's a workflow that's quite different from other posts I've seen, and especially from Boris' thread that was mentioned which is more like a collection of tips.
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