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Join date: Nov 12, 2021
Posts (61)
May 17, 2026 ∙ 4 min
Stop Guessing, Find Perfect Local LLM with OllamaAdvisor
Ollama Advisor Walkthrough Have you ever excitedly run ollama run llama3:70b on your 16GB MacBook Air, only to watch your system grind to an absolute halt? The fan spins up like a jet engine, your cursor freezes, and your swap memory immediately maxes out. The biggest bottleneck in local AI isn't the models themselves—it's hardware-model mismatch. Engineers are blindly downloading quantized models without calculating the overhead of the OS, background applications, model weights, and the...
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May 12, 2026 ∙ 7 min
Built a Webhook Inspector from Scratch and Shipped It — Here's Everything That Went Wrong
Live at: https://hookspy.in HookSpy - Walk Through Every developer integrating Stripe, Razorpay, or GitHub has been there. You set up a webhook, fire a test event, and... nothing. The endpoint didn't respond. Or it did but your handler crashed silently. Or you just want to see the exact payload the service sends before writing a single line of handler code. Tools like RequestBin and Webhook.site exist. But I wanted to build my own — one I understood end to end, could deploy myself, and could...
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Apr 12, 2026 ∙ 16 min
CodeForgeAI: Building a 5-Agent Multi-LLM Pipeline That Writes, Reviews, Tests, and Deploys Java Code — Entirely Locally
Multi Agent Framework TL;DR — CodeForgeAI is a Spring Boot + Vaadin application that orchestrates five specialised AI agents (Business Analyst → Code Generator → Code Reviewer → Test Generator → Test Executor) to transform a PDF requirements document into reviewed, tested, and deployed Java code — all running on-premise on a developer laptop, with no cloud LLM calls, no data leaving the machine. Table of Contents Motivation & Goals Tech Stack End-to-End Pipeline Architecture The 5 Agents —...
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Ankit Agrahari
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