Building Bitrise's context-aware, browser-integrated AI copilot that keeps engineers in control
Note: This article is the second in this series. Check out the first one here: Why we ditched frontier AI agents and built our own.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Live chat at unlimited scale: What it takes to support stadium-sized audiences
Live streaming has evolved from a novelty to the backbone of modern digital events. When major brands host virtual conferences, product launches, or community gatherings, they're no longer dealing with hundreds of viewers – they're managing tens of thousands of concurrent participants, all expecting to engage in realtime chat. We recently worked with a team building live chat for a major creative software company's annual event.
ADB Debugging: What It Is and How to Use It on Android
Modern app users don’t tolerate glitches — speed and stability are non-negotiable. Debugging across multiple Android devices, however, can be tedious if done manually. That’s why developers rely on Android Debug Bridge (ADB) to streamline development. With ADB, we can: In this guide, we’ll cover what ADB is, how it works, installation steps, and the most useful commands for debugging Android applications.
Strengthening Your Security: Two-Factor Authentication Now Available on OctoPerf
In today's security-conscious world, relying on a password alone is no longer enough. With 2FA enabled, even if your password is compromised, the attacker would still need access to a second verification method (your authenticator app) to get in. At OctoPerf we're committed to helping you safeguard your valuable test configurations, results, and reports - 2FA is an essential step in that mission.
Oracle's AI momentum and why quality assurance matters more than ever
After attending Oracle AI World, one thing is clear: Oracle is all in on AI. From embedded agents across Fusion Applications to the AI-native Oracle Database and OCI’s massive model-training capabilities, Oracle is positioning itself as the platform where enterprise AI comes to life. The energy was infectious. Every session, demo, and conversation carried a sense of acceleration: faster decisions, faster workflows, faster innovation.
10 Smart Ways PIs Use Open Source Intelligence to Track Individuals
Are you one of those people who believe that their internet presence fades when they press the delete button? That's cute. In the modern digital era, all posts, likes and comments leave a trail of evidence and a private detective knows how to trace it. With the assistance of Open Source Intelligence (OSINT), professional PIs sift through publicly available data, social media, and Internet habits to reveal the truths most individuals believe to be concealed. Starting with the tracking of unknown profiles to the connection of dots, OSINT has become the arsenal of a modern detective.
Qlik + Microsoft Fabric Open Mirroring: The Fast Track to Real-Time Data Intelligence
In the AI era – the need for enterprise-wide data—from every operational system—available for instant analytics is real. Microsoft Fabric has fundamentally simplified the modern data estate, centering everything around the flexible, unified power of OneLake. A cornerstone of this platform is Mirroring, a low-latency, low-cost solution designed to break down silos. But for data engineering pioneers, the most exciting development is Open Mirroring.
Benchmarking Ingestion Costs and Performance of Qlik Open Lakehouse Vs a Data Warehouse
As the demand for data to power AI models and real-time decision making continues to grow, organizations are increasingly looking for ways to simplify and optimize the ways to ingest, and process fresh data within the enterprise. On average, organizations allocate 20–50% of their annual data warehouse spend on compute for data ingestion, amounting to millions of dollars in costs for large enterprises.
What Is A Test Environment? A Complete Guide For Developers
A test environment is a controlled setting that includes software, hardware, network configuration, test data, and testing tools, where applications can be set up and validated before they are delivered to real users. It can be understood as a safe space for developers and QA engineers to do an assessment of how an application performs under expected real-world usage conditions.
AI-Powered Integration: Turning Complex Workflows into Simple Commands
Data integration has long been one of the most time-intensive parts of enterprise IT. Connecting multiple systems, reconciling formats, and ensuring data reaches its destination reliably often requires weeks of preparation before the first record moves. But with AI-powered integration, that timeline compresses dramatically. What once took weeks can now be designed, validated, and delivered in minutes.