Speed feels great until it turns on you. You ship code fast. Then a week later you can’t understand your own functions. That’s the hidden tax. AI accelerates this because it helps produce more pieces of code in less time. Those pieces often add complexity or repeat logic that already exists. It happens quietly. The slowdown shows up later. Most teams don’t catch this because reviews focus on getting the PR merged. Not on whether the code will stay healthy. If no one tracks how complexity or duplication changes on each PR, the drift compounds until it becomes debt. Maintainability is a feedback loop. You improve the loop when you track what accumulates. Complexity on the files you changed. Duplication added. Churn created. Then you combine those signals with human judgment. Does the design still make sense. Should this be refactored now instead of next month. Leaders need live signal for this. A static dashboard won’t tell you how the codebase is shifting week by week. Cycle time means little if the code is getting harder to read. Predictable teams write code they can explain on a whiteboard, not just code that merges quickly. At Typo we track complexity and duplication at the PR level so teams can decide early. Refactor now or carry the cost forward. What do your last 30 PRs say about next quarter’s incidents? #EngineeringProductivity #CodeQuality #AIinSDLC #DeveloperExperience

🚀 Cognitive Load: The Hidden Cost in Software TeamsTeams face burnout and inefficiency when overloaded with dependencies, unclear goals, and poor tooling. 🧠💡 Team topologies and structured CI/CD platforms help reduce this by fostering autonomy and clear boundaries. 🔍 Key Takeaways: High cognitive load = slower delivery, more errors, and unhappy customers. AI can aid but must be integrated thoughtfully to avoid workflow chaos. 🛠️ Start by auditing your team’s load with tools like Temperature—it’s a step toward smarter, happier engineering!

Every engineer knows the pain systems go down, errors spike, but the real challenge isn’t fixing the issue. It’s finding where the issue even is. One tab for logs. Another for metrics. Traces buried somewhere else. Hours lost chasing clues instead of solving problems. Sound familiar? Most teams try to stitch together multiple tools hoping for clarity. But what they get instead is noise disjointed data, context switching, and delayed insights. The result? Slower response times, rising costs, and that constant feeling of firefighting instead of building. That’s the gap COCREATE was built to close. COCREATE brings everything logs, metrics, and traces together into one living, breathing platform that thinks with your team. It’s not just another observability tool; it’s a unified intelligence layer that helps your team see what’s happening, why it’s happening, and what to do next all in real time. Powered by eBPF and Cilium, COCREATE gives you deep system-level visibility without slowing performance. When something breaks, you don’t hop between tools you open a single dashboard and see the full picture instantly. No more guesswork. No more downtime caused by blind spots. Just seamless observability built for the pace of modern engineering. This is how high-performing teams bring order to chaos with clarity that moves as fast as they do. Discover the power of integrated observability with COCREATE today With Premium Free trial: https://lnkd.in/d4sEqjrE #DevOps #Observability #Kubernetes #CloudNative #COCREATE

Excited to kick off our new webinar series, The Modern Testing Stack, with Liz Fong-Jones of honeycomb.io and Justin Reock of DX. We’ll dig into a question that’s on everyone’s mind right now: why hasn’t faster code generation led to faster delivery? AI has changed how software gets written, but the rest of the SDLC hasn’t caught up. In this session “Unlock the Velocity AI Promised,” we’ll talk about the promise vs. reality of AI code generation, how to accelerate software delivery with confidence, and what else needs to change (hint: the tools, processes, and frameworks) to achieve AI productivity gains in software development. Join us on October 23 at 10 am PST! https://circle.ci/4nN6EZe

You’ve heard of MCP. But what can it actually do for your API products? Model Context Protocol lets agents discover and run your existing APIs. That’s going to be a huge opportunity to increase your product’s usage. Check out the document below for a quick intro on MCP and how you can get started. And if you’re ready to learn more, check out Build AI-Ready APIs! I’ll post some videos and articles in the comments, but please feel free to add your questions below - and if I don’t know the answer, I’ll tag an expert who can help ↓

I’ve always believed that the next interface shift won’t be about screens, it’ll be about voices. For decades, we’ve been building software with keyboards, clicks, and syntax. But humans weren’t designed to communicate that way we were designed to speak. Imagine building something not by typing, but by simply describing it. Imagine ideas moving from thought → prototype → product, all through natural language. That’s what this new wave of tools is unlocking and I think it’s just the beginning. We’re moving toward an era where the best builders won’t be defined by how fast they code, but by how clearly they can express their ideas. That’s the future I’m excited about. That’s the vision behind what we’re building with Whisp, turning your voice into creation. Here is me using Whisp to make a simple SaaS application. Check it out at heywhisp.com

AI is revolutionizing software development, but are you truly unlocking its potential? Our survey of nearly 300 publicly traded companies shows that realizing the revolutionary promise of AI on software product development will take much more than adoption. It will require a complete overhaul of processes, roles, and ways of working to keep pace with accelerating tool and model intelligence. Discover more here: https://lnkd.in/ejgUtaz9

A great read from McKinsey on what truly differentiates high-performing software organizations in the AI era. The takeaway is clear: success isn’t just about adopting AI tools - it’s about reimagining how teams work, learn, and lead. The companies seeing the biggest gains are the ones embedding AI across the full development lifecycle, upskilling their people, and aligning incentives with impact. In a rapidly evolving landscape, AI transformation is as much about organizational reinvention as it is about technology. #AI #SoftwareDevelopment #DigitalTransformation #Leadership #McKinsey #Innovation

“What has Sarah been working on recently?” We’ve just rolled out a major update to make engineering workflows even more intelligent and customizable 👇 1️⃣ Rules Support (Already Live): Organizations can now define and enforce their own standards during code evaluations, ensuring consistency, compliance, and alignment with internal best practices. 2️⃣ Request-Based Assistant: Teams can now ask any question related to their projects or Git context — and get instant insights powered by our AI assistant. 💡 Some examples: 🔍 “What files were modified in PR #123?” 👥 “What has Sarah been working on recently?” 📈 “What’s our development velocity this month?” 🏗️ “Which modules are most actively developed?” These updates empower teams to make smarter, faster, and more data-driven engineering decisions. #ProductUpdate #EngineeringProductivity #CodeIntelligence #DevTools #AIinEngineering #Hikaflow

AI agents are taking on the work no one has time to own—flaky tests, noisy logs, broken builds. Swipe through to learn how they're reshaping the way teams ship software ➡️ Full blog post: https://circle.ci/47wULkn