We obsess over what AI can automate but I keep coming back to what it can’t. Code, artifacts, yes.
6 stakeholders truly aligning, still hard. Maybe that’s the real constraint

We say AI boosts productivity but it’s not symmetric. Engineers: 3–4x. PMs: flat. Now one PM sits on 15–20 engineers worth of output. Is this productivity… or just shifting the coordination bottleneck?

lol. ty!

oouch. so they saved how much exactly?

there’s something fascinating happening where developers use ai all day, but still won’t fully rely on it. that gap feels important. like we’re watching trust being earned in real time, not declared in benchmarks.

adipolak.github.io/adipolak-blo...

I keep wondering how many teams are racing to build custom JIRA, custom Workday, and custom CRM replacements, only to eventually ask:

“When did we become an internal software company?”

Achieving Precision in AI: Retrieving the Right Data Using AI Agents Adi Polak explains the path from GenAI prototype to production by focusing on precision - the competitive edge. She details Agentic RAG architectures, emergent agent design patterns, and crucial feedb...

5/5 ➡️ Achieving Precision in AI: Retrieving the Right Data Using AI Agents by Adi Polak
bit.ly/47XWDS8

@adipolak.bsky.social

#AIagents

token management became my life right now

the debate rages: is vibe coding good or bad? reality check-top Silicon Valley companies are already using it and seeing results.

to win in the age of AI coding, think like a head chef: you don’t chop every vegetable, you design the dish.

i wrote about it, check it out

in case you've missed it, here are some G𝗼𝗹𝗱-𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 𝘁𝗼𝗼𝗹𝘀 for AI pipelines:

A/B testing
randomized controlled trials
natural experiments.
as well as 𝘱𝘰𝘴𝘵-𝘥𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵 𝘮𝘰𝘯𝘪𝘵𝘰𝘳𝘪𝘯𝘨

Let's debate it! lol

Unlock precision in GenAI by moving beyond traditional #RAG ⇨ #AgenticRAG.

In this #InfoQ video, @adipolak.bsky.social dives into Agentic RAG architectures, emergent agent design patterns, and the crucial feedback loops (including LLM-as-a-judge) that drive continuous refinement.

▶️ bit.ly/47XWDS8

Amazon is laying off 30,000 corporate employees.

the biggest cut in tech this year.
If you know someone affected, check in.

“How are you holding up?” goes a long way. 💬
Be good.

Using ChatGPT as a solution to a debate is never a good idea

Following up on my Data Streaming Patterns talk, I’ll be back for Current in New Orleans on October 29th in a few weeks.

You know I got a FREE ticket code. Use CMP-ADI for free ticket and hopefully I'll see you there.

Maybe AI is a bubble. Maybe it’s the next electricity. Either way, the worst career move is sitting it out.

will be replaced with something more sutiable for production and scale.

What advice would you give to someone in their twenties who wants to build a secure tech career?

Hot take: Every Big AI Framework Will Be Dead in 5 Years

It is always better to appreciate one's strengths.

AI alliances be like: Keep your friends close, and your cloud providers closer☁️

Biz strategy goals

Synergy level: infinite GPU cycles.

Ooh. This one is mind boggling

What’s the best relationship advice you’ve ever received?

This is painfully true

What are some reasons not to buy iPhone 17?

Asking for a friend.

We can get so caught up in imagining the future that we forget to look for inspiration in stories from the past.

It's hard to make anything truly innovative. History has some harsh lessons for us.

You win