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

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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 โ€œcontext rot,โ€ undermines this approach. Based on insights from Chroma... Continue Reading →

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Agentic AI: How it can redefine the Software Development Lifecycle

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An intriguing case study that's keeping me awake โ€” 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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