InfoQ Homepage Continuous Improvement Content on InfoQ
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How Grab Improved Mobile App Stability by Safely Handling Surge in AI-Generated Code Changes
The growing adoption of AI coding assistants has accelerated development and increased the volume of code changes per release, bringing more opportunities for defects and crashes, says Grab. To address these challenges, they implemented a layered defense strategy to prevent, detect, and contain crashes throughout the development and release lifecycle.
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Building a Culture for a Kubernetes-Based Platform in a Bank
In banking, open source can earn trust by running real workloads, as Marcy Paramonova and Stéphane Cusin explained in their talk Building Cloud Native Culture in a Bank at KubeCon & CloudNativeCon Europe. Deploying Kubernetes was the easy part; the hard part was culture: community of practice, shared knowledge, rituals, ownership. Teams try things, keep what works, and improve bottom-up.
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DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents
DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform.
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DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents
DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.
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How GitHub Is Securing Agentic Workflows in Modern CI CD Systems
GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.
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Making Retrospectives Effective with Small Concrete Actions and Rotating Facilitators
Teams can run regular retrospectives that focus on 1–2 concrete weekly actions to avoid complaint circles, Natan Žabkar Nordberg mentioned at QCon London. You can rotate facilitators to build ownership, with each one bringing their own unique perspective. He suggested framing bigger changes as 4–6 week experiments, then vote to keep, tweak, or revert, ensuring learning and continuous improvement.
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Google Launches Automated Review Feature in Gemini CLI Conductor
Google has enhanced its Gemini CLI extension, Conductor, by adding support for automated reviews. The company says this update allows Conductor "to go beyond just planning and execution into validation", enabling it to check AI-generated code for quality and adherence to guidelines, strengthening confidence, safety, and control in AI-assisted development workflows.
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OpenAI Introduces Harness Engineering: Codex Agents Power Large‑Scale Software Development
OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line production system. The platform integrates observability, architectural constraints, and structured documentation to automate key software development workflows.
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Creating Impactful Software Teams That Continuously Improve
Culture shapes how we feel, work, and succeed, says Natan Žabkar Nordberg. People thrive in different environments—some need autonomy, others structure. Trust must be given first, not earned. Leaders should guide, not control, fostering autonomy and safety.
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How NASA Tests Their Software for the Space Shuttle and the Orion MPCV
NASA uses multiple testing levels, independent validation, standards, safety communities, and tools to ensure safety. Darrel Raines gave a talk about software development and testing for the Space Shuttle and the Orion MPCV. He explained how they learn from failures and near misses and continually improve their process.
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Applying Observability to Leadership to Understand and Explain your Way of Working
Leadership observability means observing yourself as you lead, treating yourself as the system that is under observation. Alex Schladebeck shared how narrating thoughts, using mind maps, asking questions, and identifying patterns helped her as a leader to explain decisions, check bias, support others, and understand her actions and challenges.
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Expanding Continuous Improvement beyond Agile Practices
After being on an agile journey where practices were centered on IT, a company is now exploring ways to extend them beyond IT and scale their approach. Ramya Sriram presented how they focus on continuous improvement through agile practices, feedback, and customized maturity assessments. Emphasizing flow metrics with a strong learning culture, they aim for efficiency and sustainable growth.
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Inflection Points in Engineering Productivity for Improving Productivity and Operational Excellence
As companies grow, investing in custom developer tools may become necessary. Initially, standard tools suffice, but as companies scale in engineers, maturity, and complexity, industry tools may no longer meet needs. Inflection points, such as a crisis, hyper-growth, or reaching a new market, often trigger investments, providing opportunities for improving productivity and operational excellence.
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Applying DevOps Principles and Practices as a Quality Assurance Engineer
DevOps streamlines software development with automation and collaboration between development and IT teams for efficient delivery. According to Nedko Hristov, testers' curiosity, adaptability, and willingness to learn make them suited for DevOps. Failures can be approached with a constructive mindset; they provide growth opportunities, leading to improved skills and practices.
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How to Foster a Continuous Improvement and Learning Mindset in Software Development
According to Ramya Sriram, individuals and teams must embrace a continuous improvement and continuous learning mindset to stay competitive and relevant. She spoke about continuous improvement and learning, where she explored how her company fosters a culture of innovation through programs that support experimentation, providing employees with the time and space to explore new approaches and adapt.