Rijul, a developer building LiveReview, an AI code review tool, explains the distinction between chat history and agent memory in AI systems. He clarifies that chat history is conversation-scoped, whi…
Maneshwar, a developer building LiveReview, explains the inner workings of SSH, detailing how Diffie-Hellman key exchange establishes a secure session and why encryption precedes authentication. The a…
A developer detailed a pattern for building reliable autonomous AI workflows, arguing that pure agency without control leads to failures. The approach, called LiveReview, uses a governance layer to pa…
Shrijith Venkatramana, developer of LiveReview, explains how autoregressive LLM decoding can be accelerated using speculative decoding and Medusa-style multi-token prediction, which break the sequenti…
Maneshwar, developer of LiveReview, a blast-radius aware AI code review tool, explains common failure modes in background job processing, focusing on the dual write problem where a process crash betwe…
Rijul, an engineer building LiveReview, explains how Vision-Language Models (VLMs) process images by combining a vision encoder, a connector, and a language model. The post breaks down the pipeline fr…
Shrijith Venkatramana, developer of the AI code review tool LiveReview, explains the concept of loss landscapes in large language models, describing how gradient descent navigates high-dimensional par…
Maneshwar, the developer behind LiveReview, an AI code review tool, detailed the design of a webhook delivery system capable of handling 10 million events per day. The article outlines the pitfalls of…
Shrijith Venkatramana, the developer behind LiveReview, explains how Constitutional AI methods can turn written principles into training signals for LLMs, reducing reliance on human preference labelin…
Developer Maneshwar, creator of LiveReview, argues that the choice between session-based authentication and JSON Web Tokens (JWTs) is fundamentally about how quickly a server can revoke access. Sessio…
Shrijith Venkatramana, an engineer building LiveReview, explains how the Adam and AdamW optimizers became essential to modern LLM training. The post details how Adam, introduced in 2014 by Diederik Ki…
Maneshwar, the developer behind LiveReview, an AI code review tool, explains the differences between CPU, GPU, TPU, NPU, DPU, and QPU, arguing that 'computation' is not a single thing. He details how …
Rijul, a developer building LiveReview, explains how product quantization (PQ) compresses large vectors in AI applications, using FAISS as an example. He demonstrates that a 768-dimensional vector sto…
Maneshwar, the developer behind LiveReview, an AI code review tool, outlines seven key principles for building reliable distributed systems, drawing on examples from Amazon and Google. The article exp…
Shrijith Venkatramana, developer of LiveReview, explains reward hacking in LLMs, where models optimize proxy rewards instead of intended goals, citing examples like OpenAI's CoastRunners and Anthropic…
LiveReview, a developer tool for AI-powered code review, has built Livi, a chat bot that answers questions about review data with charts. The bot uses an LLM to generate Vega-Lite chart specifications…
GitHub has quietly introduced support for stacked pull requests, enabling developers to break large changes into chains of smaller, dependent PRs. The feature automatically recognizes stacks when PRs …
Shrijith Venkatramana, founder of Hexmos, argues that the AI Code Review Benchmark, while methodologically detailed, fails to address the fundamental problem of AI code review by defining the goal fro…