InfoQ Homepage Continuous Integration Content on InfoQ
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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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GitHub Agentic Workflows Unleash AI-Driven Repository Automation
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.
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Getting Feedback from Test-Driven Development and Testing in Production
Teams rely on strong unit and integration tests instead of end-to-end tests. Using TDD, pair programming, and good design, they ship small changes often, test in production for real feedback, and use feature toggles to reduce risk, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming.
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Docker’s Cagent Brings Deterministic Testing to AI Agents
Docker is positioning its Cagent runtime as a way to bring deterministic testing back to AI agents, addressing a growing problem for teams building production agentic systems.
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Inside the Development Workflow of Claude Code's Creator
Claude Code's creator Boris Cherny described how he uses it at Anthropic, highlighting practices such as running parallel instances, sharing learnings, automating prompting, and rigorously verifying results to compound productivity over time.
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QCon AI New York 2025: AI Works, PRs Don't: How AI is Breaking the SDLC and What to Do about it
Michael Webster, Principal Engineer at CircleCI, presented “AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What to Do about It” at QCon AI New York 2025. Webster discussed the impact of AI on the Software Development Lifecycle (SDLC) and Continuous Integration/Continuous Delivery (CI/CD) processes at CircleCI.
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Pinterest Engineering Reduces Android CI Build Times by 36% with Runtime-Aware Sharding
Pinterest published a technical case study detailing how its engineering team cut Android end-to-end (E2E) continuous integration (CI) build times by more than 36 percent by adopting a runtime-aware test-sharding strategy and building an internal testing platform.
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Grafana and GitLab Introduce Serverless CI/CD Observability Integration
In a move to streamline development workflows, Daniel Fritzgerald of GrafanaLabs has published a new open-source solution that links GitLab CI/CD events into Grafana's observability stack via a serverless architecture.
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HashiCorp Warns Traditional Secret Scanning Tools are Falling behind
HashiCorp has issued a warning that traditional secret scanning tools are failing to keep up with the realities of modern software development. In a new blog post, the company argues that post-commit detection and brittle pattern matching leave dangerous gaps in coverage.
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Combining Continuous Delivery with Pair Programming: Lessons Learned
Pair programming and continuous integration can go hand-in-hand. Pushing to main multiple times a day is hard in isolation, leading to delays, large PRs, and merge issues, Ola Hast and Asgaut Mjølne Söderbom mentioned in their talk about continuous delivery with pair programming at QCon London. Pairing enables instant code review, easier refactoring, fewer bugs, and higher team resilience.
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Agoda Leverages ChatGPT in the CI/CD Process for SQL Stored Procedure Optimization
Agoda started utilizing ChatGPT to optimize SQL stored procedures (SP) as part of their CI/CD process. After introducing the automated LLM-assisted step, the company observed shortened stored procedure optimization times, which lightened the load on DB developers. Agora works on making ChatGPT more accessible for SP optimization outside of the CI/CD pipeline.
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Google Veles is a New Open-Source Secret Scanner Powering GCP
Google Veles is a newly released open-source secret scanner, launched as part of Google's broader OSV-SCALIBR (Software Composition Analysis LIBRary) ecosystem. Veles integrates seamlessly with other OSV-SCALIBR tools and also powers secret scanning in Google Cloud, while remaining available as a standalone module.
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AWS Lambda Adds Support for GitHub Actions
AWS has recently announced that AWS Lambda now supports GitHub Actions, providing a simplified way to deploy changes to Lambda functions using declarative configuration in GitHub Actions workflows. The new option supports both .zip file and container image deployments.
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Wix Adds Chaos to CI/CD Pipelines with AI and Improves Reliability
Cloud-based web development service Wix has written about a new approach to integrating artificial intelligence into continuous integration and continuous deployment (CI/CD) systems. In a blog post, Wix demonstrates how probabilistic AI can coexist with deterministic development processes, adding chaos without compromising reliability.
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Microsoft Launches Azure DevOps MCP Server in Public Preview
Microsoft has unveiled the Azure DevOps Model Context Provider (MCP) Server in public preview, enabling seamless interaction between GitHub Copilot and Azure DevOps. This innovative tool allows developers to query and manage project data using natural language directly within VS Code, streamlining workflows and enhancing productivity while ensuring project data remains secure and local.