Allan E.

At Pyne, we’re always pushing what’s possible with AI - often using our internal stack as the playground. This week, we started building and editing dashboards using natural language in Slack. The setup: We use Warp as the agent layer. It has access to both our dbt repo and our dashboard repo. When someone requests a change, the agent can trace from dashboard → model → source. It sees the full context. The workflow: 📝 Request via Slack   🐳 Agent writes code + tests in Docker   🔁 PR created automatically   ✅ CI/CD validates   🚀 Auto-deploys on merge   📊 New dashboard features running in production Total time: ~20 minutes from idea to production. It’s been running on our internal analytics for a week now. This works because our dashboards are relatively simple: standardized components, consistent patterns, and decent test coverage. Curious to see how it would hold up in a more complex setup. If you're interested in learning more, get in touch! https://lnkd.in/esCvrwGE

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How much can AI really change a company in just one year? 🤖 Morten Petersen is back for Season 2 of Cycling with Morten. The streets of Copenhagen may be the same, but our internal pace has shifted into a higher gear. At Worksome, we haven't just watched the AI revolution, we've embraced it. From Engineering to Legal and every team across the business, we’ve woven AI into our DNA to fundamentally transform how our teams operate. The biggest takeaway? AI isn't replacing the need for talent; it’s making the case for hiring even stronger by 5x-ing individual productivity. 🚀 🚲 Watch as Morten discusses the impact of AI while navigating the cobblestones of Copenhagen.

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AI was the great promise of productivity and value creation with less people... But how is the tally? 👉 From my experience many senior devs are struggling in "rudimentary" pull requests burning out in senseless review work. 👉 Companies are re-hiring senior developers to bring code bases into check again 👉 Cost are soaring and companies are restricting use of AI Tokens. 👉 Juniors have no obvious learning path as AI is taking up that space. Amidst all the negatives, I find that simple tasks like writing notes (sometimes - as it often captures Danish wrongly) works in a busy workplace. What are your experiences? Is AI delivering on the promised performance improvements?

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Is your code getting better - or worse? Most development teams can tell you what they shipped last sprint. But can they tell you whether the codebase itself actually became healthier? Watchdog gives your software a score from 0-100 and a ranked list of what to fix first. Run it again after the next sprint and you can see whether the work actually moved the code in the right direction. Watchdog is read-only. It doesn't change your code, enter your build pipeline or block a release. Your source code is read in memory on our servers in Denmark and isn't stored afterwards. And you don't have to take our word for it. The first full report on any repository is free. No credit card required. Try it on a codebase you already know well - and see whether Watchdog agrees with you. https://lnkd.in/e39XJZW6

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We’re proud to bring Froda x Shine to France, making fast and fair financing available directly in the Shine app to 200,000 French entrepreneurs and small businesses. France is now the third, and largest, market where Froda and the Shine group are working together, following Kontist in Germany and Billy in Denmark. Together, we’re making financing more accessible where entrepreneurs already run their business. As Rico Adlor-Andersen, CEO and co-founder of Shine, puts it: “We've already seen what Froda's financing means for small businesses in Germany and Denmark, and we're seeing the same demand in France. Our ambition has always been to give entrepreneurs everything they need to manage their business in one place, and fast, fair financing is a key part of that. Froda shares that approach, which makes them the right partner as we bring this to our largest market.” A huge thank you to everyone across Shine and Froda who made this happen. Three markets together. Much more to build. Rico Adlor-Andersen Martin Hegelund Marek Z.

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Dreamdata’s finance team started building on Light before they’d even finished moving over. At the B2B marketing attribution company, Peter Egehoved, Andreas Jørgensen and Lívia Ilona Hanisch wanted a finance platform they could build on. They had plans for agents that could handle repetitive work using their own accounting logic. Six weeks before go-live, Andreas was already using Claude and Light’s API to build Dreamdata’s own Finance Hub. Today, that hub reconciles accounts, while agents review bills and chase missing receipts through Slack. Month-end takes one day, down from 20, and the finance team is still three people even as ARR has more than doubled. With less time spent on bookkeeping, the team has more time for decisions about investment, expansion and hiring. Thanks to Peter Egehoved and Andreas Jørgensen for sharing what they’ve built, and for helping shape what we build next. Read more: https://lnkd.in/eUSY96ni

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People have asked how things are going, and after the first week, I can honestly say it’s been a really good start.   There are big ambitions for AI at Pingala A/S, and one of the things I find most interesting is that it’s not just about giving people access to better AI tools. We’re also looking at how we can get better at reusing what works - knowledge, experience and ways of working - so we don’t all have to start from scratch every time. It’s still early days, but we’re already well underway 🙌   Feel free to reach out if you’re curious about what we’re working on 😊

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You can dictate a text message in 10 seconds. Care workers still type every electronic care record note by hand. That gap is what we're working on. At Systematic, we're building AI into Columna Cura - our solution for municipal eldercare - starting where the value is clearest: - Speech-to-text on visit plans - Automatic structuring - Easy-to-read summaries for the next shift. Staff who prefer to type still can. AI in Cura is opt-in. We didn't figure this out alone. Two years of testing AI with municipalities across Denmark taught us one thing above all: build it with the people who'll use it. Learn more about our approach and work with AI in Cura in this blogpost https://lnkd.in/e-eD8ix7 What do you think is the most promising use of AI in healthcare right now? #AIinHealthcare #DigitalHealth #HealthTech #Systematic

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“We chose Shift4 because the team understood how our business works and was willing to build around what we actually need.” — Jens Frandsen, CFO, Sol og Strand For Sol og Strand, that means faster settlement and simplified payments across more than 7,000 Danish holiday homes — keeping the transaction process in the background and the focus on the guest experience. Learn more: https://lnkd.in/eN87MifG

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