Bernardo's Recent LinkedIn Posts

Fairness scales poorly without systems: I saw this at Flickr, Verse, and earlier at Google. In the early days, fairness feels natural: You’re close to the work and context is shared. But as you scale, context fragments and perception replaces reality. That’s why transparency has to be bidirectional: - Leaders need real visibility into how teams deliver. - Teams need clarity on how performance is evaluated. Shared reality makes fairness durable. Without it, politics scales faster than performance. This is why I’m building what I’m building. With Pensero top performance culture doesn’t survive growth by intention, it survives it by design. Blog link in the first comment.

I’ve been working in tech for 30 years. But what’s happening right now is bigger than anything I’ve seen. For the first time, machines are augmenting the one muscle we never had tools for: the brain. The gap between those who understand this moment and those who don’t is widening every day. The people I admire most right now are the ones learning the deepest and rethinking how work and performance are impacted in this new reality. Are you giving yourself enough time to understand what’s really changing? Blog link in the first comment.

Most engineering leaders underestimate one simple truth: visibility changes behavior. Already in the 1920s, the Hawthorne studies showed that people improve performance when they know their work is being observed. Not because of pressure but because of awareness. I’ve seen the same dynamic in engineering teams firsthand: When contribution becomes objectively visible, standards rise, conversations improve and excellence compounds. That’s the principle behind Pensero. 📌 Read full article: https://lnkd.in/gA4Mnht8

When Andrew said that Pensero AI is why engineers want to work there, I paid close attention. I’ve spent years working with high-performing teams, and the best ones all had something in common: they had nothing to hide. In my conversation with Andrew Eye from ClosedLoop, what stood out wasn’t just the 4× improvement in delivery speed. It was his clarity. He spoke about transparency as a cultural advantage. About measuring reality not to control people, but to elevate standards. About engineers wanting visibility because it makes excellence possible. That’s the kind of leadership choice I respect. AI is changing how software gets built. The only way to stay principled in that shift is to anchor performance in observable truth. Proud to see ClosedLoop using Pensero AI exactly that way. 📌 Read full case study: https://lnkd.in/g4Ze-9Vw

Some US tech companies are about to miss a quiet opportunity. If you’re a US-based startup with ≤ $31M average revenue (2022–2024), the restoration of Section 174 may allow you to retroactively expense domestic R&D from those years. That can mean real cash back. But there’s a catch: To amend returns, you need defensible documentation of what your R&D actually was by initiative, location and the cost. And most engineering organizations don’t have that level of traceability. They have: - Jira tickets - GitHub repos - Payroll data - Spreadsheets - Estimates - … What they don’t have is a reproducible system that ties engineering activity to financial attribution and rebuilding 2–4 years of engineering time logs manually is unrealistic. The companies that will recover cash are the ones that can reconstruct effort using real delivery artifacts. This is precisely why we built Pensero: A system that converts engineering activity into finance-ready cost attribution that is traceable, reproducible and audit-defensible and painless. If you’re a founder or finance leader, now is the time to look at this before taxes are here. Talk to your tax advisor. And if you need the evidence, not estimates, we should talk. If you’d like to go deeper, find the blog link in the first comment.

I’ve worked with engineering teams that built category-defining products. The ones that truly stood out had nothing to hide. Transparency wasn’t a threat, it was part of how they operated. That’s why I don’t buy the simplistic debate of team metrics vs individual metrics. The real question is whether we are willing to measure reality. AI now allows us to see how delivery actually happens. Used well, that visibility strengthens fairness and excellence. Used poorly, it becomes distortion. For me, leadership is choosing transparency even when it’s uncomfortable. Full article below.

Every successful company I’ve been part of, every investment that truly worked, had a technical advantage at its core. Not a marketing advantage or a distribution trick. A real technical edge that made the product fundamentally better than anything else in the market. Technology is no longer a support function. It’s the system that turns capital into code and code into revenue. Technology isn’t a department. It’s the backbone of every competitive moat worth defending. And if it’s your backbone, you should understand how it’s performing. Blog link in the first comment.