Stackoverflow confirms in the last survey there are two major developers workflows to interact with AI helpers tools.
First it is dealing with AI code-generators / editors, and second it is searching for answers.
My team and I are developing the SaaS exactly for second workflow^ with mine functional:
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Search engine, Advanced data aggregation from multiple OpenSources.
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Data analyzer and automated comparer.
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Conversational AI(specialized)
Every day we search for random OS projects, at least to take a look at references.
Developers were spending more time exploring gathering necessary assets for their project, than building their dreams.
We had to fix this.
Our goal is to create service that helps optimize, simplify and speed up the work of software developers
exploring global projects assets, also make projects and their components more clear, understandable and visual. ”
“And now I need your expert opinion to heck with stakeholders
to fill in features that are not known yet for some products but may be important.”
Please, take a look at 6 bullets features checklist (just high abstraction level). It includes:
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Featured Search tool that as aggregator will allow simultaneously gather
open source projects combined from multiple sources.” -
Background-Feature that enhanced search response to high-quality,
that exactly matches the request criteria. And It also filters the spam. -
Background-Featured-app that automatically analyzes the reference project
and returns carefully selected analogs. -
GUI-Feature Representation of project’s related information combined in one point view,
(no need to switch between pages). -
GUI-Feature and tools or projects comparison.
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Background participation of a chain of AI models in each process that tracks and forms sessions,
thereby freeing the developer from creating complex prompts. -
Tool with automated Analysis of repositories, including packages,
carried out by a specialized AI agent for more expert answers. -
Feature with AI agent, so that it’s not just being conversational, but also becomes the dialog performer.
It means something that would be immersed deeper in tasks and could be able to ask leading questions.
Sorry about a lot of information, I consider this context is necessary to showcase what we are trying to achieve.
Our goal is to understand how relevant and useful these features are for you and your colleagues.
We aim to understand the full spectrum of implications.
For context, we mainly use Python and GoLang for projects, typically with multiple frameworks where main is Django.
I’m asking because I need your help with understanding your preferences and helping us focus on what matters most to the community.
Is it relevant or useful these features are for you and your colleagues.
Thank you for your ansvers in advance!
