Tag: AnimeshKumarSinha

I Built the “Self-Healing AI” Paper in Python- Here’s What Actually Happened

Self-Healing AI
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Self-Healing AI: A hands-on implementation of autonomous prompt optimization, LLM self-improvement without fine-tuning, and automated harness engineering using the Anthropic Claude API Author: Animesh Kumar Sinha|Technical Architect| Visit author profile: https://linkedin.com/in/animesh-kumar-sinha-56792119 What if an AI could read its own failures, rewrite its own instructions, and get better — without anyone touching its weights? That's the... Continue Reading →

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Context Rot in LLMs: Why Graphs Are the Promising Fix for Coding Agents?

Context Rot in LLMs
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Large Language Models (LLMs) are the backbone of modern AI coding agents, powering tools that write, debug, and refactor code. The dream is to feed these models entire codebases or vast chat histories, letting them reason over everything at once. But a critical issue, dubbed “context rot,” undermines this approach. Based on insights from Chroma... Continue Reading →

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RAG (Retrieval-Augmented Generation) and Embedding : PART — 1

RAG (Retrieval-Augmented Generation) and Embedding
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RAG (Retrieval-Augmented Generation) is a hybrid AI approach that combines: 1. Retrieval-based systems (for accuracy and up-to-date knowledge) 2. Generative models (for fluent, natural language responses) Why do we need RAG? Where was it some time back? A user enters a natural language query, such as "What are the latest features in Kubernetes 1.30?” The query is converted into... Continue Reading →

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Agentic AI: How it can redefine the Software Development Lifecycle

Agentic AI
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An intriguing case study that's keeping me awake — a zero-employee organization is a real possibility. This example is taken from Pot-Pie (now I re-branded myself as "Developer Assist"), a solution built using the Agentic AI framework. It enables the development of agents to support an organization across various SDLC phases. In this article, I... Continue Reading →

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Genie Space Framework: Making Data Simple for Business Users

Genie Space Framework
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In today's fast-paced data landscape, business users want answers without waiting for a data team to write SQL queries. The Genie Space framework bridges this gap by allowing users to ask data questions in plain language and get back the results, the SQL logic, and a clear explanation. Powered by LLMs and guided by curated... Continue Reading →

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