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 โcontext rot,โ undermines this approach. Based on insights from Chroma... Continue Reading →
Agentic AI: How it can redefine the Software Development Lifecycle
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 →

[…] After pruning, the tree becomes simpler and focuses on the important big patterns (the real signal). It ignores the…
[…] Also read “Many people can relate to the story of 12th Fail Movie, particularly those who come from the…
[…] In summary, idli, dosa, and uttapam showcase India’s fermented heritage, validated by science as powerful gut allies. Their wild…
[…] Here’s a high-level workflow for this system, using an orchestrator to sequence agents. This could be built on frameworks…
[…] Also read”Ninefold Magical Bells” at https://journals-times.com/2024/12/24/ninefold-magical-bells-of-enchantment/ […]