You’re reading The Steady Beat, a weekly pulse of must-reads for anyone orchestrating teams, people, and agents across the modern digital workplace – whether you’re managing sprints, driving roadmaps, leading departments, or just making sure the right work gets done. Curated by the team at Steady.
Go around
“For most of the history of software, we built slowly, and that slowness quietly did us a favor.” Gareth Reeves argues that waiting on another team forced coordination, and trust “came bundled with the pace.” Agentic development strips that friction out. Why wait on another team when you can build it yourself tonight? It feels fast and unblocked. Multiplied across an organization however, it produces “a sprawl of forks and branches, duplicate systems, things that don’t talk to each other.” Everyone busy, “lots of tokens burned, and less and less that actually fits together.” So trust now has to be built on purpose. Reeves borrows the Trust Equation from The Trusted Advisor: credibility, reliability, and intimacy, divided by misalignment. His fix is to turn colleagues into partners. “Colleagues share an employer; partners share a fate.” When someone’s fate is tied to yours, going around them means cutting yourself. He closes with Genesys’s “fly in formation”: own your lane, trust the others to own theirs, and watch for the one drifting next to you.
— Gareth Reeves, 10m, #ai, #coordination, #trust
Proper farewell
Anton Zaides hasn’t written a line of code by hand in more than a year, and he misses it. “Yeah, I said it.” Before moving on, he wants to give the work a proper farewell, so he lists the things that won’t happen again. A code review that finds something meaty instead of a nitpick. Rabbit holes and climbing back out. The problem that your brain, “purely your brain, without any LLM,” solves in the shower. Two teammates on a race condition, “like fighting a boss monster together.” Even the breaks are gone. One of his engineers told him: “I feel so much more exhausted, because those break moments are gone. It’s always like: let’s push one more Claude session, just a few more.” Zaides borrows William Bridges’s three phases of a transition: the ending, the neutral zone, and the new beginning. Software development is now in the neutral zone, and we seem to have skipped “the ending.”
— manager.dev, 8m, #engineering, #ai, #culture
Date certain
Marty Cagan has written about outcomes over output for more than a decade, and he’s never met anyone who argued the other side. Yet with AI “turbocharging product development,” output has never been more abundant or outcomes more scarce. He now thinks he framed it wrong. You can’t get outcomes without output, so that was never the trade-off. The real one is outcomes versus predictability. Most companies pick predictability without saying so, and outcomes become “a hoped-for consequence of shipping what was promised.” Most of them are bad at predictability anyway, and when dates slip, output becomes the fallback way to gauge progress. Choosing outcomes means admitting most of the ideas on your roadmap won’t work, which “requires humility.” Cagan calls it the difference between teams using AI to get better results and those “just running faster in the wrong direction.”
— Silicon Valley Product Group, 5m, #product, #strategy, #leadership
Empty cubicles
Home Depot, Instagram, Fidelity, and TikTok have all ordered employees back five days a week. Economists Natalia Emanuel and Emma Harrington point out what the mandates don’t change: people commute in and spend the day on video calls with teammates who are elsewhere, or down the hall. In their September survey of 1,835 college-educated workers, more than 70% said at least one teammate was out of the building the most recent day they went in. Half had no fully in-person meetings, and 52% of people with meetings had at least one held online even though everyone was in the same building. The in-person benefits can be real: pairs who brainstorm face to face produce about 14% more ideas. But one distant teammate pushes the meeting online for everyone. Two pandemic leftovers drive it: teams sprawled across cities and the habit of treating hallway conversation as a distraction. Mandates, they conclude, relocate remote work rather than reduce it.
— The Atlantic, 7m, #remote, #management, #culture
Code machine gun
Debugging company Undo surveyed 300 senior engineering leaders at large US and UK companies, and 81% had a production incident or outage tied to AI coding tools in the last six months. Another 93% said an AI hallucination had sent a root-cause investigation the wrong way. The speed is real, but 79% say their release cycles are no faster than before. Instead, the work shifted. Engineers now spend 16.9 hours a week debugging against 9.8 writing code, and 35% of AI-generated code reaches production before the team fully understands it. “We’ve kind of unbottlenecked the bugging phase,” says Undo CTO Mark Williamson, who calls the tools a “code machine gun” at times. It compounds in long-lived systems, where the assumptions live in the heads of senior engineers and the person maintaining the code never wrote it. The report’s advice: measure defect rates and mean time to resolution, not lines of code.
— LeadDev, 3m, #ai, #engineering, #quality
Echo of the week
Echoes are AI agents in Steady that automatically gather and deliver work context to teams on a schedule – answering recurring questions about progress, capacity, and coordination so you stop burning hours assembling the same information manually.
Weekly team kick-off. Monday’s team meeting usually opens with ten minutes of everyone reconstructing last week from memory. This Echo does that part before anyone logs on. Every Monday at 10:00 AM, it summarizes what the team worked on over the last seven days in three to five themes, lists the team’s goals, flags who’s out over the next five days, and adds an ice-breaker question tied to the work. The meeting starts with the recap already done.
The human-agent teamwork OS
Teams rely on two coordination loops to function: a big-picture loop connecting plans to progress, and a ground-level loop keeping teammates in sync.
Running those loops was already a marathon of meetings, chat threads, dashboards, and manual toil. Pile on flatter orgs, exponential output, and AI agents shipping 24/7 — the old way can’t keep up.
Steady removes the coordination bottleneck by running both loops for you. Working in the background, Steady distills updates and activity into targeted context for everyone on the team — human and agent alike. Full visibility, tight alignment, zero overhead.
The outcome: high-performing teams that deliver the right work, not just more of it.
Learn more at runsteady.com.