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Making the Context Across 46 Repositories Semantically Searchable for AI (Part 2)

Hi, I'm Ryan, CTO at airCloset. In Part 1, I wrote about unifying 46 repositories of production code into a single knowledge graph via static analysis. The graph itself got built, but I closed the post with four open issues: no semantic search, node explosion, having to open the file to actually know what a function does, and the cost of writing a new parser every time a new boundary pattern showed up. This Part 2 is about how I solved the first one — the entry-point problem (no semantic search)

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ExternalSoftware Engineering
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How We Built StyleSense: AI Virtual Try-On Powered by Amazon Aurora & Vercel

Online clothing returns cost the industry over $816 billion a year. The root cause is simple: shoppers can't see how clothes look on their body before buying. We built StyleSense to fix that — an AI-powered virtual wardrobe where you upload a selfie, add clothes from any product URL, and instantly see yourself wearing them. Here's how we built it, and why Amazon Aurora PostgreSQL and Vercel were the right choices for a 72-hour hackathon build. Frontend: Next.js 14 App Router + TypeScript + Tailw

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ExternalSoftware Engineering
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Building BrewCore: Espresso Tracking on Vercel, DynamoDB, and Amazon Bedrock

Beyond the Timer: How I Built BrewCore for the H0 Hackathon Home espresso is a paradox. Baristas obsess over the micro-details the gram weight, the seconds on the clock, the pressure profile-but we usually track it all on sticky notes or fragmented mental maps. When that morning shot turns sour, we don’t have a database to query; we have a bad cup of coffee and a Reddit thread from 2019. For the H0 Hackathon, I wanted to bridge that gap. I've built BrewCore: a full-stack coffee companion that

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Deploy AI agents in 5 lines of code.

TL;DR Build AI-agents in 5 lines of code. Skip the set up & infrastructure. Live and running. from custodian_labs import Custodian app = Custodian( model="gpt-4o", system_prompt="You are a concise, helpful assistant.", ).deploy() print(app.chat("Hello!").response) print(app.chat_url) # ← live, shareable URL Runnable Colab notebook here. DIYing this: FastAPI behind a reverse proxy + Redis for sessions + a small frontend + an auth layer + a vector DB and ingestion pipeline. All of it

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Building a passwordless, Gemini-advised dashboard on the "zero stack"

I built Kajota Pulse and wrote this article as my entry for the **AWS × Vercel "H0: Hack the Zero Stack"* hackathon (#H0Hackathon). Live app: kajota-pulse.vercel.app · Code: github.com/KaJota-inc/kajota-pulse* Across African micro-commerce, "co-sellers" buy stock from wholesalers and resell to their network for a markup. There's a whole industry of tools for writing the listing. There's almost nothing for the question that actually decides whether a co-seller makes money: what should I stock thi

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Why I Built "WIN RAK": A Privacy-First Alternative to Passive Location Tracking

Location sharing has become normal. Most people use it for simple reasons: checking if family arrived safely coordinating with friends helping elderly relatives finding children handling emergencies But most existing apps solve this with the same model: continuous passive tracking. That model always bothered me. Not because it doesn’t work. But because it changes the relationship between trust and location. Most location-sharing apps work by keeping your position visible all the time. 24/7. Even

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LLM Integration in CI/CD: Real Use Cases Beyond Code Completion

A GitLab API token appeared in a README.md file. It was committed, pushed, and reviewed by two engineers before merging. Nobody caught it. This was not a junior developer's mistake. Both reviewers were experienced. The token was on line 47 of a 200-line file, sandwiched between installation instructions. At the end of a sprint, with three other reviews queued, it looked like documentation. It was a secret sitting in plain sight. We caught it the next day during a routine audit. By then it had be

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