saurabh singh

saurabh singh

Curious Builder | Co-founder@Aftermerge

About

I’m Saurabh, a software engineer and founder with 4+ years of experience building products across fintech, mobility, gaming, e-commerce, and B2B SaaS. I’ve worked on everything from real-time gaming and matchmaking systems to mobility, pricing, payments, procurement, and large-scale backend infrastructure. Along the way, I’ve had the opportunity to build products used by thousands of users and solve problems across distributed systems, real-time architectures, and AI. I’m passionate about developer tools, AI-native products, and turning complex engineering problems into simple, useful products. Excited to be building and connecting with fellow makers on Product Hunt.

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Forums

We launched AfterMerge 2 weeks ago. Here’s what we’re questioning already.

When we started building AfterMerge, we thought the obvious workflow was:

PR comes in AI reviews it team merges it.

But the more repositories and engineering workflows we look at, the more we think the bigger problem might not start with the PR.

A lot of important issues already exist in a codebase. They aren't raised in a PR. They sit quietly across services, modules, dependencies, and data flows until one day they become an incident.

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1mo ago

How do vibe coders know their changes won’t break the unhappy paths?

With vibe coding, it s incredibly easy to get a feature working for the happy path.

But I m more curious about the flows that aren t obvious from the code you re currently working on.

A change might look perfectly safe within one repo, but what if it affects:

  • An edge case handled by another service or repository

  • An older flow that isn t documented in the current codebase

  • A downstream API or integration

  • A workflow that the AI simply has no context about

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2mo ago

AfterMerge - CATCH WHAT BREAKS, BEFORE IT SHIPS

Building the Superhuman Engineer. AfterMerge is an AI-native engineering platform that automates everything after a pull request is raised from QA and release validation to deployment intelligence, observability, incident investigation, and AI-powered debugging. We help engineering teams ship faster with confidence by bringing AI agents into the software delivery lifecycle, reducing manual effort, accelerating root cause analysis, and improving production reliability.
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