Why Fine-Tuning your Model will not Teach it New Facts

An engineer asked me why not just train the model on our own data instead of building RAG. Here is what actually happens inside a transformer when you…

Oct 5 • Ashok Vishwakarma

Why your AI feature passed the Demo and failed in Production

A payments AI passed its demo in two seconds, then told a merchant a refund had posted that never happened. Here are three diagnostic checks to catch…

Oct 1 • Ashok Vishwakarma

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September 2026

Enhancing RAG Vector Search with Graph Traversal before it grabs the wrong manual

A manufacturing plant almost sent a technician the repair manual for the wrong CNC lathe model, because vector search cannot tell hardware apart. Here…

Sep 28 • Ashok Vishwakarma

August 2026

Is your NextJS App actually secure?

In May 2026, Vercel published a massive, coordinated security release addressing 13 separate advisories across Next.js. Vercel didn’t just patch a…

Aug 29 • Ashok Vishwakarma

How to Audit AI-Generated Code at Scale

To build an engineering organization that survives AI generation, you have to separate verification into two distinct problems.

Aug 27 • Ashok Vishwakarma

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Writing code got Free but someone still has to Verify it

Generation got cheap. What stayed expensive was judgment, orchestration, context boundaries, and verification.

Aug 25 • Ashok Vishwakarma

The AI rehiring panic everyone got wrong

We all know that roughly 120k tech roles has been cut in the year 2026 and AI was the most cited reason among all.

Aug 16 • Ashok Vishwakarma

July 2026

Stop treating MCPs as Plugins. They are a Pipeline.

MCPs are not individual add-ons. They are structural building blocks for a pipeline. When configured as an interconnected graph, MCPs mirror every stage…

Jul 28 • Ashok Vishwakarma

The Tokenpocalypse - Why Cheap Tokens are Bankrupting Engineering Teams

Cost per token is reduced by 67 to 97% in 3 years but AI bills for engineering teams have never been higher, so the question is why?

Jul 21 • Ashok Vishwakarma

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May 2026

I tested 5 Agent Observability Tools and they all Failed the Causality Test.

LangSmith, Arize Phoenix, Langfuse, LangGraph Studio, and GraphEvals + Neo4j with same scenario, same question: "Which context influenced this…

May 18 • Ashok Vishwakarma

Why LinkedIn is leaving Kafka and Why you should not be worried.

The question you should be asking is simple. If LinkedIn outgrew Kafka at 32 trillion events and you are at 10 million do you actually need Kafka.

May 16 • Ashok Vishwakarma

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I benchmarked 5 Languages in Kubernetes and here is what your stack actually costs.

Last month I was called into a war room for a high growth fintech client.

May 7 • Ashok Vishwakarma

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