9/ Meeting Your Future Manager Ask them one question before the interview ends. "What is the single technical bottleneck slowing your team down most right now?" Then spend the rest of the conversation proving you have solved that exact thing before.
WORKFORCE
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Engineers Worth Hiring Should Not Do Unpaid Work
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4/ The 15 Hour Take-Home Politely decline. Offer a live session or a portfolio instead. Engineers worth hiring do not do unpaid work to prove themselves.
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AI Agent Deployers: The New Essential Enterprise Role
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this is a very very good write up not enough time being spent right now thinking clearly like this about AI outside of R&D I think this post nails it. start with the job-to-be-done, rethink the factory, and empower super operators Aaron Levie (@levie) The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD: This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company. In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on. This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on. The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business. It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function. This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well. — https://nitter.net/levie/status/2043883641366032638#m
→ View original post on X — @scobleizer, 2026-04-14 07:02 UTC
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AI Multiplies Engineer Productivity by 100
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RT @bindureddy: AI enables 100x engineer. Period! [Translated from EN to English]
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Product Managers as 10x Engineers: AI-Powered Development Revolution
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Product managers are the new 10x engineers! Good PMs no longer need large engineering teams They can simply get AI to build whatever they please… in record time
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Replit Fellows Builder Tour Empowers Educators and Entrepreneurs in AI
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Replit Fellows Builder Tour, Minneapolis
— Replit ⠕ (@Replit) 13 avril 2026
Part of a 4-city tour empowering educators and entrepreneurs to vibe and thrive in the AI-enabled economy.
Tour outcomes:
• 4 cities
• 50+ builders
• 100+ apps created pic.twitter.com/t50PwwrfzAReplit Fellows Builder Tour, Minneapolis Part of a 4-city tour empowering educators and entrepreneurs to vibe and thrive in the AI-enabled economy. Tour outcomes:
• 4 cities
• 50+ builders
• 100+ apps created -

10 Essential AI Skills You Must Master in 2026
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10 #AI Skills to Master in 2026
by @Python_Dv #MachineLearning #ArtificialIntelligence #ML -
AI-Driven Unemployment Could End Capitalism, Says Google Ex-CBO
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Mo Gawdat, ex-CBO Google: For the first time, we may see massive unemployment (30%-50%) not from crisis, but because machines outperform human labor. Capitalism could come to an end in his perspective.
— Chubby♨️ (@kimmonismus) 13 avril 2026
That cuts to the core of capitalism: a system built on hiring labor to… pic.twitter.com/rbGl6HLRR5Mo Gawdat, ex-CBO Google: For the first time, we may see massive unemployment (30%-50%) not from crisis, but because machines outperform human labor. Capitalism could come to an end in his perspective. That cuts to the core of capitalism: a system built on hiring labor to
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Using AI to Extract Blog Posts From Interviews Efficiently
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Similarly I think there are a lot of interviews/etc which have a blog post that can get extracted out of them and I think an AI can do a very good first cut of that blog post before you give it to a junior marketer for polish/human touch/etc.
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AI Insights vs Team Experience: Resolving Data Contradictions
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The workforce support angle is crucial. What happens when skilled teams get clear insights but the underlying complex data points contradict their experience?