In 2022, DevEx surged in prominence. Roles like “Head of DevEx” became common, and companies invested in onboarding platforms, feedback surveys and internal tooling initiatives aimed at fostering “happier developers.” But as economic conditions shifted, so did executive expectations. Initiatives without demonstrable impact on delivery velocity or system reliability have been scrutinized. What we’re witnessing is not the end of DevEx, but the end of a narrow interpretation of it: One that equated developer satisfaction with engineering success. To remain relevant and impactful, DevEx must evolve into a more outcome-driven, systems-aware discipline. The Happiness Trap Most DevEx programs optimize developer happiness in isolation,…
Author: drweb
The software engineering landscape is experiencing a paradigm shift. While most AI coding tools have focused on generating code faster, a new player is tackling the more substantial challenge that consumes 70% of engineering time: Understanding existing codebases and collaborating effectively on complex problems.Reflection AI, founded by DeepMind researchers behind AlphaGo and Gemini and backed by $130 million, has launched Asimov. This code research agent promises to transform how engineering teams navigate the complexities of large-scale software development.The Real Engineering ChallengeThe conventional wisdom around AI coding assistance has been misguided. Research shows that engineers spend only about 10% of their…
In a world increasingly shaped by AI, the rules of software development are undergoing a shift. As organizations accelerate digital transformation, the pace of software production is staggering — more than 500 million new applications are built globally each year; by 2030, this number will be nearly one billion. Yet, the workforce (quality assurance (QA) professionals) tasked with ensuring these applications are functional, scalable and reliable remains drastically under-equipped. At present, there are only 1.5 to 2 million QA testers worldwide. Even if we are optimistic about automation, the gap only continues to grow. We believe this mismatch in scale presents not…
GitLab this week made available a public beta of a platform for building, managing and orchestrating artificial intelligence (AI) agents that have been trained to automate a range of DevOps tasks and workflows.Emilio Salvador, vice president of strategy and developer relations for GitLab, said the GitLab Duo Agent Platform will enable DevOps teams to assign tasks to AI agents both synchronously and asynchronously using an extensible platform that provides full visibility across the software development lifecycle (SDLC).GitLab as part of that effort is building a catalog for AI agents and a knowledge graph that will enable AI agents to access…
Generative AI tools aren’t just autocomplete for code—they’re reshaping the very first rung on the engineering career ladder. Host Mike Vizard asks Juan Salinas, VP of business development at Jalasoft, and software engineer Rolando Lora whether entry‑level developer jobs are about to disappear.Salinas is blunt: the routine, low‑risk tickets that once taught newcomers the ropes are now exactly what teams hand to AI agents. University graduates were “20–30 percent job‑ready” before; today the same agents that help them finish coursework will compete for their first paychecks.Lora counters that the picture isn’t all doom. Lightweight “vibe‑coding” chats let designers and product owners spin…
The circle cylinder of life Maybe you’ve noticed all the twenty somethings tight rolling their jeans or people with bellbottoms or the 80’s music playing in grocery stores… It’s true, fashion and art are cyclical. I’m certain we’ll be seeing MC Hamer pants as a new trend around 2030.Technology, much like fashion, often operates in an ever-moving circle. Trends emerge, fade, and then, with a fresh coat of paint and some innovative twists, reappear as the next big thing. In the world of data and Business Intelligence (BI), we’re witnessing a fascinating full circle moment.For years, the narrative pushed was…
Squall is a SQLite viewer and editor that runs in your terminal. Squall is written in Python and uses the Textual package. Squall allows you to view and edit SQLite databases using SQL. You can check out the code on GitHub. Here is what Squall looks like using the Chinook database: Currently, there is only one command-line option: -f or –filename, which allows you to pass a database path to Squall to load. Example Usage: squall -f path/to/database.sqlite The instructions assume you have uv or pip installed. uv tool install squall_sql uv tool install git+https://github.com/driscollis/squall If you want to upgrade to the latest version of…
Generative artificial intelligence (AI) is empowering developers to build, innovate and deploy faster than ever before. But this velocity has a hidden cost — one that doesn’t show up on product roadmaps. It’s a new and expanding class of risk, flaring up in the unseen connections that power intelligent systems — their application programming interfaces (APIs). And it’s growing faster than most traditional governance models can handle.This isn’t just a theoretical problem — it’s a practical reality that security leaders are grappling with today, according to Akash Agrawal, VP of DevOps & DevSecOps at LambdaTest, an AI-native cloud testing platform…
Centreon this week generally made available an open source agent for monitoring IT and operational technology (OT) environments that incorporates the open source OpenTelemetry agent for instrumenting applications that is being advanced under the auspices of the Cloud Native Computing Foundation (CNCF).Raphaël Chauvel, chief product officer at Centreon, said now that the Centreon Monitoring Agent makes it possible to also collect log data using OpenTelemetry, with the next step being adding the ability to collect traces. Overall, the goal is to provide a unified platform for monitoring and observability that IT teams can flexibly apply as needed, he added.Most IT…
Intro Local development can be challenging when apps rely on external services like databases or queues, leading to brittle scripts and inconsistent environments. Fiber v3 and Testcontainers solve this by making real service dependencies part of your app’s lifecycle, fully managed, reproducible, and developer-friendly. With the upcoming v3 release, Fiber is introducing a powerful new abstraction: Services. These provide a standardized way to start and manage backing services like databases, queues, and cloud emulators, enabling you to manage backing services directly as part of your app’s lifecycle, with no extra orchestration required. Even more exciting is the new contrib module…