Agents write code that passes every test and still breaks in production. Here is how to ship it to a slice of your users first, and how to take it back in seconds when it goes wrong.
Code is written faster than ever with AI loving to write tests for everything it does. This makes our CI pipeline slower and slower. Here is how to build a fast CI/CD pipeline - Part 1 with focus on CI
Let's find out by exploring how the most popular libraries are doing it under the hood and then build our own.
The React Compiler memoizes your components at build time, and it does the job better than you can by hand. What it is, how the compiled output works, how to turn it on, and what to do with the useMemo calls already in your codebase.
Where should your auth token live so an XSS bug can't steal it? Here's how to build auth that survives the crazy non-secure world we live in.
Over the years, in our goal to achieve faster and faster web applications, we created different hydration and rendering strategies. Each with benefits and drawbacks that we explore in this article.
Explore conversations with senior engineers about scaling applications, teams, and careers.
Señors @ Scale host Neciu Dan sits down with Craig Abbott, Principal Accessibility Specialist at TetraLogical and the former Head of Accessibility at the UK's Department for Work and Pensions, one of the largest government departments in the country, where he built a dedicated accessibility practice from nothing and open sourced the DWP Accessibility Manual. Craig has over 15 years in user centred design and has led accessibility work across the public sector and at Elastic. From what sustainable accessibility actually means and why third party audits alone don't get you there, to the three C's of compliance, culture and capability, to running screen readers in VMs without expensive licences, to accessibility acceptance tests in CI with Playwright, Cucumber and Guidepup, to why compliance does not mean usable, this is the accessibility conversation for teams who want it to survive the person who cares about it.
📖 Read Takeaways
Señors @ Scale host Neciu Dan sits down with Carmen Huidobro, CTO at Incredible Bee in Vienna, where she builds products and helps teams figure out what should be automated and what should stay in the hands of users. Carmen has spent 17 years in tech, almost all of it freelancing, working across Objective-C, Ruby on Rails, the web, mobile, hardware, and even ABAP inside an SAP consultancy, plus five years in developer relations and developer education. Her argument is that the generalist versus specialist debate misses the point: the durable skill is being an expert at adapting. From adding a local Mistral model to a twenty-year-old macOS app without betraying the people who use it, to the refugee hackathon project the City of Vienna still runs a decade later, to why she won't take money from junior developers, this is a conversation about the skills that survive the shift.
📖 Read Takeaways
Señors @ Scale host Neciu Dan sits down with Marko Gaćeša, Head of Product at Semaphore, the agent-native CI/CD platform, and the first product guest on the show. Marko is a serial entrepreneur whose career spans developer tools, IoT, industrial automation and enterprise SaaS, including founding Dry Tools and serving as Chief Product Officer at Alchemy Cloud, with earlier work in domains like medical equipment where quality is non-negotiable. From why testing rather than coding is now the bottleneck, to what agent-native CI/CD actually means when developers live inside their coding agent, to how SemAI attacks flaky tests and automates migration off GitHub Actions, to pricing a platform where a minute of CI is not the same minute everywhere, this is the product side of developer tooling from someone shipping it.
📖 Read Takeaways
Señors @ Scale host Neciu Dan sits down with Maxim Salnikov, AI Dev Tools Solution Engineer at Microsoft, where he leads AI native development enablement for over 100 enterprise customers of Microsoft and GitHub in Norway. Maxim has been building for the web since the late 90s and spends his days inside real enterprise dev teams across finance, energy, agriculture, and pure software companies, watching AI adoption succeed and fail. From why adoption is a change management problem rather than a technology one, to the anatomy of an AI harness and the external layer successful companies build on top of it, to the context engineer and agent ops roles now appearing in team topologies, to managing agent skills as versioned dependencies instead of letting them pollute the repo, this is the enterprise AI adoption conversation from someone who sees a hundred versions of it.
📖 Read Takeaways