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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
2
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
1
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
2
Why Flat Logs cannot Debug AI Agents?
The $240,000 order was not a failure of the language model, prompt engineering or not even the multi agent architecture itself. It was a catastrophic…
May 4
•
Ashok Vishwakarma
1
April 2026
Why AI is Forcing us back to Basic Computer Science?
The industry no longer needs thousands of junior developers who only know how to spin up a boilerplate. AI has completely commoditized the surface layer…
Apr 23
•
Ashok Vishwakarma
2
1
Fine Tuning an AI Model on your Mac
The goal is to teach a tiny local AI to read executive management jargon and output the brutal engineering reality.
Apr 20
•
Ashok Vishwakarma
2
Thinking about Training you own AI Model?
Read this before you make any decision. This explains the two paths you can take depending on the size of your AI Model.
Apr 17
•
Ashok Vishwakarma
1
Why CUDA (Nvidia) won the AI game even when Apple built the best hardware?
AI inference is not fundamentally a compute problem. It is a data movement problem. The traditional CPU was not defeated by a lack of mathematical…
Apr 16
•
Ashok Vishwakarma
1
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