Entelligence AI

tokenmaxxing is just another vanity metric jensen huang says if your $500k engineer isn't burning $250k in tokens, something's wrong to be fair, the man sells GPUs 🤷‍♂️ 80% of ai-written code gets thrown out the 20% that ships? causes production fires 🔥 and coding is maybe a quarter of what engineers actually do @claudedevs solved coding @entelligenceai solves the rest

The token maxxing hype is over 80% waste. We pulled data from our customer spend analysis across 2,444 companies and found something uncomfortable. For every $1 spent on AI tokens, only $0.18 actually reaches the product. The other $0.82 breaks down like this: $0.44 goes into fixing bugs the AI itself introduced, $0.27 disappears into rewriting or reworking code that missed context, and $0.11 is lost to review friction & context switching. Caught up with @zubinpahuja an ex Uber colleague and now founder of @joinNEXA to further discuss his thoughts on where the token maxxing trend is headed.

@sakshiseninsane 🚀

Coming sooon

build/smth at soda @UCBerkeley @berkeley_ai happening in full swing. Lots of fantastic ideas and depth in solutions. Packed crowd!! @entelligenceai #hackathon

Over 250 people have signed up so far! Come participate in the "Production reliability agents" track - building agents to automatically track, triage and fix your peers vibe coded projects :)

Sat down and had a chat with Lucas from MindsDB! Meeting customers in person and understanding exactly what in the platform they find most valuable and what parts do or don't work seamlessly in their workflow has been extremely valuable Great to partner with the @MindsDB team!

Customers pinging you with "people are already impressed by its ability to ..." as soon as you leave a meeting 👌 Walked past their office everyday on the way to work, great to have em onboard now!

Deep Barot and the entire @ContextQa team are building some of the most advanced end to end QA agents for web testing. It's been super exciting to partner with them over the last year and expand with them from around 5 eng to over 30 today! Excited to have you on Deep!

Memories of working out of Soda hall at Cal all night for project demos will stay with me forever. Excited that @EntelligenceAI will be cohosting a hackathon with HKN next weekend Saturday, May 9th! We're looking to hire more Berkeley students and would love to chat :)

"Random" meetings booked on your calendar at 11:30pm at night turning into 1k+ engineering teams 👌

The best engineering teams don't just move fast. They move fast without breaking things. @ClodoAI Co-founder & CTO @vikchuppala built his stack around that idea. Claude, Cursor for generation. Entelligence to catch what they miss. The result: 77% of flagged issues fixed, real PII caught before it became a breach, OAuth bugs closed before users ever felt them. Check how they closed the code review feedback loop with entelligence.ai : entelligence.ai/case-study/clo…

@jogani_vinay @Aiswarya_Sankar replied! thanks for the interest

@Aiswarya_Sankar @EntelligenceAI The amount of times i have dmed is crazy

We're hiring research engineers at @EntelligenceAI ! Have gotten a lot of DMs about our hiring process - got asked about it on a panel recently as well. Hiring for speed of iteration and evaluation! Today honestly that's what matters most

We're constantly chipping away at our end goal of ensuring teams never have to look at production logs or issues at all. Great to chat with @vikchuppala CTO of Clodo on our milestones towards that goal and how they've been leveraging @EntelligenceAI so far!

Excited to be speaking at the Women in Tech meetup today!

We're hiring reach out if you are interested to join in for building the greatest closed loop solution for production!

Most code reviews fail because noise trains engineers to stop listening. Over time, even useful feedback gets ignored and reviews stop driving real decisions. The fix is not more comments, but better ones. @hobbes_ai made this shift with Entelligence.AI See what changed: entelligence.ai/case-study/hi-…