David Strube

For decades, we've optimized code for human readers. Agentic coding is forcing a renegotiation of what "craft" means. VP of Delivery Doc Norton argues that's shifting emphasis from code-level readability to system-level observability and problem-space incrementalism. https://lnkd.in/gUk_-7ye

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Code that scales without breaking a sweat? That’s Scala. 💡 Adeel Aslam, Lead Staff Engineer at Arbisoft, shares how it’s redefining the way we code: https://lnkd.in/dZtW4fHW #Scala #FunctionalProgramming #ArbisoftBlogs

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If you've ever tried to generate code from a JSON Schema and watched your tooling quietly give up halfway through, you're not alone. It's a frustration that Clemens Vasters, Principal Architect for Messaging and Real-Time Intelligence Services at Microsoft, knows intimately — and it's the frustration that led him to create something new. https://lnkd.in/eqCkGbuA

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Internal developer platforms are reaching a new maturity, but they were designed for humans who can interpret context; agents, by contrast, need structured data, explicit rules, and repeatable outcomes. When an agent hits friction, it doesn't complain; it simply routes around the platform, calling lower-level APIs and gradually making the platform optional. Read the full story for a clear-eyed look at accommodating a second class of user that's already in your system: https://lnkd.in/ePQtNAJU #PlatformEngineering #IDP

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Issue 17 is out, covering agentic coding updates from last week: 1M context for Claude, 2x usage promo, JetBrains Air, /btw command, voice mode, and 8 levels of agentic engineering. Read: https://lnkd.in/gCTj3XiW

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Most project status updates are theater. Everything is "green" until suddenly it isn't. In the latest installment of his GitHub Copilot SDK series, Chad Michel tackles that problem head-on. He built earned value tracking into his desktop app — a chart that answers "are we actually on schedule?" at a glance, using Critical Path Method calculations, resource limits, and dependency-aware scheduling. https://lnkd.in/gwVQ25C4 #softwaredevelopment #githubcopilot #projectmanagement #softwareengineering #earnedvalue

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Improve Postman #API import accuracy. #NativeRest 3.4.0 by NativeSoft adds full structural #folder import, preserving nested #Postman hierarchies and keeping complex projects organized. https://lnkd.in/eseznnPt

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We are deploying The Lounge web IRC client containerized through TRS Core, using artifact-based pipelines, deployment catalogs, event-driven workflows, and API-first orchestration. Applications move cleanly from build to package, deploy, and observe. Alongside it, we're also deploying additional containerized services, including Nginx and Redis, managed independently through the same TRS workflows. From the dashboard, teams can monitor live container status, stream logs in real time, and open secure terminal sessions directly into running containers. Networking and Security are automated end-to-end, including SSL provisioning and certificate lifecycle management as part of the deployment pipeline. This is the TRS Flow. TRS Core is continuing to evolve as a platform. For enterprises, banks, and telecom operators exploring focused PoC or MVP initiatives aligned to real production environments, conversations are open. #PoC #MvP #PlatformEngineering #DevOps #CloudAutomation #SRE #Founder #Entrepreneur #InfrastructureAsCode #EnterpriseIT #Banking #Telco #SRE #CloudSecurity #ContainerOrchestration #EnterpriseSoftware #DigitalTransformation #AppDeployment #CloudNative #Automation #Workloads #CloudComputing #SSL #Security #Networking #Containers

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Between tight deadlines, talent shortages, and rising security demands, software development leaders are under more pressure than ever. Our latest blog explores 7 measurable ways AI tools like GitHub Copilot are reshaping software development and how to implement them successfully. Learn more: https://hubs.li/Q03PXJl10. #GithubCopilot #RedaptBlogs #AI #Software

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Functional programming isn’t magic - it’s just powerful. Russ Olsen breaks down the mystery and shows how FP makes coding simpler and smarter. https://lnkd.in/dvcyXEka

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Stop juggling 10 different tabs for simple tools. 🤯 We've all been there: one tab for a JSON formatter, another for a BMI calculator, a third for a color picker... it's a mess. I built ToolGenius to solve exactly this. It’s an all-in-one developer & productivity dashboard that combines 40+ essential tools in one beautiful, ad-free interface. 🚀 What’s inside? ✅ Dev Tools: JSON formatter, Minifiers, Generators 💰 Finance: Loan, SIP, & Budget calculators ⚡ Productivity: Pomodoro timer, Todo lists 🔒 Privacy First: All calculations happen 100% in your browser. Your data never leaves your device. I’d love for you to try it out and roast my code (or the design)! 👉 https://lnkd.in/dYap2iTD #WebDev #OpenSource #Productivity #React #ToolGenius #BuildInPublic

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Error string matching breaks on localized SQL Server instances. We tested this on a Teleport diagnostics task from SWE Bench Pro. Without system context:  → Claude Sonnet 4.5 matched error strings  → But broke across locales With AI Architect:  → Found SQL Server's typed error codes   → Built production grade error handling  → 13 test cases passed, 18% faster Full case study here: https://lnkd.in/d4V-vAXb 

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The latest update for #Rollbar includes "Best React Frameworks in 2026: Data from 127 Job Posts" and "Your AI Coding Assistant Can't See Production Errors. Here's How to Fix That.". #monitoring #devops https://lnkd.in/eEEQBDJW

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Coding agents didn’t remove the bottleneck. They moved it. The teams actually improving delivery aren’t stopping at coding agents. They’re deploying agents across the entire SDLC. We broke down that shift here: background-agents.com Writing code faster doesn’t fix delivery; it increases pressure downstream. More PRs lead to longer reviews. Faster reviews create testing backlogs. Accelerate testing, and deploys begin to queue. The constraint doesn’t disappear, it just relocates. Optimizing each stage individually doesn’t change system throughput. What does change it is restructuring the system. High-performing teams are running agents across the whole pipeline. Dependency updates run on a schedule and open upgrade PRs automatically across every repo. Incident triage agents gather logs, correlate recent deployments, and post root cause summaries before on-call even begins investigating. Routine maintenance and cross-repo changes happen continuously in the background instead of waiting for someone to initiate them. The goal isn’t faster code generation. It’s faster delivery. That requires treating the SDLC as a system and deploying agents accordingly.

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From lexers and parsers to PSI trees, building language support in IntelliJ is a path full of pitfalls and possibilities. This post is a guide for anyone staring down that road! https://lnkd.in/e4EXzPBp

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Securing the software supply chain starts at the first commit, not in the CI/CD pipeline. We are proud to introduce the Vouch Git Workflow. For too long, verifying code provenance meant wrangling clunky GPG keys or blindly trusting committer emails. As software attacks move "left," we need stronger guarantees. The Vouch Git Workflow brings verifiable, identity-backed attestation directly into your development lifecycle. It’s not just about signing code; it’s about linking every commit to a verified identity, creating an immutable chain of custody for your software. Trust the code because you can verify the coder. Read the full launch details on our blog below (link in comments). #DevSecOps #SoftwareSupplyChain #CyberSecurity #VouchProtocol #OpenSource

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