Entelligence AI

@EntelligenceAI

Building engineering intelligence @ Entelligence.AI

Joined January 2024

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Entelligence AI
@EntelligenceAI
Jul 13
The next wave isn’t about writing better code. It’s about giving engineering leaders the intelligence to ship it. Who’s optimizing AI spend? Who’s measuring outcomes? Who’s making sure AI-generated code actually reaches production? These are the questions we’ve been building to
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Entelligence AI
@EntelligenceAI
Sep 14
can a $1.20/M token model actually compete with the best model on the internet right now? we put GPT-5.6 Luna against GPT-6 Astra on 50 real PRs and Astra found 92 verified bugs vs 69 for Luna Luna was able to catch 75% of the bugs for just 3.6% of the cost honestly didn’t
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Entelligence AI
@EntelligenceAI
Sep 10
Catch @Aiswarya_Sankar, CEO of Entelligence AI -- live talking about token usage, context, cost & performance for AI agents in production next week! 17 Sep | 10:30 PM IST
Nasiko
@nasikolabs
Sep 10
AI agents are getting autonomous. Your token bill is getting autonomous too. That’s why we’re hosting our first Nasiko X Space on TokenOps. We’re talking token usage, context, cost, performance, and what it takes to run agents reliably in production. With Aiswarya Sankar,
Entelligence AI
@EntelligenceAI
Sep 9
We benchmarked GPT-6 Astra against GPT-5.6 Sol across 50 real pull requests from Cal, Sentry, Discourse, Keycloak, and Grafana. Sol found 107 confirmed bugs versus 91 for Astra, while costing 37% less per confirmed bug. Astra was more precise, with 95% of its findings confirmed
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Entelligence AI
@EntelligenceAI
Sep 8
Your AI bill tells you what you spent, but not what you got for it. As coding agents become part of everyday engineering, token spend is becoming a real engineering budget, and it needs the same visibility as headcount, infra, and cloud costs @Aiswarya_Sankar breaks down why AI
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