Arpit Bhayani

Every process a software team runs was built to manage a scarce resource. For twenty years that resource was engineering time. Waterfall managed it with sequencing. Agile managed it with short cycles and constant renegotiation. Both approaches assume the

Every process a software team runs was built to manage a scarce resource. For twenty years that resource was engineering time. Waterfall managed it with sequencing. Agile managed it with short cycles and constant renegotiation. Both approaches assume the

A company runs smoothly when people can get stuff done without hunting for information. What actually wears people out day to day is not the hard engineering problem. It is not knowing which ticket to file, which team to bug on Slack, or what invisible st

A company runs smoothly when people can get stuff done without hunting for information. What actually wears people out day to day is not the hard engineering problem. It is not knowing which ticket to file, which team to bug on Slack, or what invisible st

G-Eval is a reference-free evaluation framework that uses large language models to assess the quality of generated text. This article explains how G-Eval works, including rubric-based prompting, chain-of-thought evaluation, and probability-weighted scorin

Every AI workflow is a dependency problem. You have steps that produce outputs, other steps that consume those outputs, and a hard constraint: consumers cannot run before their producers finish. Get the order wrong and you read stale data, call a tool wit

Every AI workflow is a dependency problem. You have steps that produce outputs, other steps that consume those outputs, and a hard constraint: consumers cannot run before their producers finish. Get the order wrong and you read stale data, call a tool wit

If you have ever taped together a cron job, message queue, a database table for state, and a retry loop - only to watch the whole thing break during a network blip at 2am - you already understand the problem Temporal solves. The fix you built was a workfl

If you have ever taped together a cron job, message queue, a database table for state, and a retry loop - only to watch the whole thing break during a network blip at 2am - you already understand the problem Temporal solves. The fix you built was a workfl

Most of us build RAG the same way: follow a tutorial that embeds a handful of PDFs, stores the vectors in a local Chroma instance, and chains everything together with LangChain (if that