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gdss-radar

Detects the collisions, generate patch with AI in during CI.

A Semantic Program Analysis & Transformation Algebra engine (using ASTs, dependency graphs, and non-commutative operator algebra) paired with an Ephemeral Sandboxed AI Convergence Assistant (which proposes and tests candidate patches before human review).

Top comment

https://github.com/marketplace/actions/gdss-pr-collision-radar

I built this because to avoid constant dealing with the mege conflit that occurs after some other PR gets merged into the attractor branch that cause the collateral merge conflict to produce later which is kind of a hassle because you need to revisit it again and found out that when you opened the pr there was no any merge conflict but because some other pr got merged first it caused a conflict as a collateral damaage in your pr. So I have created a tool that ia available in the git hub marketplace called GDSS PR Collision Radar. It compares the consequetive PR request and try to sync all the latest pr through the CI pipeline. It is in its experimental phase so I humbly request its users to try it and raise an issues in my repo. THank YOU!

About gdss-radar on Product Hunt

“Detects the collisions, generate patch with AI in during CI.”

gdss-radar was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #334 on the daily leaderboard. A Semantic Program Analysis & Transformation Algebra engine (using ASTs, dependency graphs, and non-commutative operator algebra) paired with an Ephemeral Sandboxed AI Convergence Assistant (which proposes and tests candidate patches before human review).

On the analytics side, gdss-radar competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how gdss-radar performed against the three products that launched closest to it on the same day.

Who hunted gdss-radar?

gdss-radar was hunted by Sarthak Basnet. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of gdss-radar including community comment highlights and product details, visit the product overview.