InfoQ Homepage Continuous Integration Content on InfoQ
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Behind the Scenes: Block 450 JVM Repositories into Monorepo to Reduce Dependency Drift
Block, Inc. describes migrating ~450 JVM repositories into a monorepo across Cash App and Square engineering to reduce dependency drift and coordination overhead. The system supports ~8,800 weekly builds with ~10 min p90 CI time. The approach improves cross-service changes, build visibility, and developer experience through dependency graph–based builds, selective CI, and custom IDE tooling.
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CircleCI Introduces Chunk Sidecars to Bring CI Validation Directly into AI Coding Workflows
CircleCI has launched Chunk Sidecars, a new capability designed to bring CI-style validation directly into an AI coding agent's inner development loop.
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GitLab 19.0 Embeds Agentic AI in Secrets, Merge Requests, and Supply Chain Security
GitLab 19.0 extends agentic AI beyond code generation into securing credentials, reviewing and merging changes, and scanning dependencies, adding a public beta Secrets Manager, a full merge request Developer Flow, usage-based GitLab Duo billing, and generally available SBOM dependency scanning.
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Neobank Monzo Builds Governed Data Mesh across 100 Teams and 12000 dbt Models
Monzo recently redesigned its data warehouse to support more than 100 teams working on over 12000 dbt models. Introducing a so-called "meshy" approach, Monzo cut warehouse costs by about 40% and improved data delivery speed by 25%.
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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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DoorDash Used Copilot to Convert Its XCTest-Based iOS Test Suite to Swift Testing
Using Copilot along with strong reliability safeguards, DoorDash migrated their iOS XCTest-based test suite to Swift Testing, thus modernizing a large test suite quickly, safely, and with measurable performance gains, says DoorDash engineer Matheus Gois.
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GitHub Targets Large Merge Problem with Stacked PRs
GitHub has launched a native stacked pull request workflow through a new CLI extension called gh-stack, closing a gap that third-party tools have filled for several years. It aims to resolve the problem where large pull requests are hard to review, slow to merge and prone to conflicts, with GitHub stating that reviewers lose context, feedback quality drops, and the whole team slows down.
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GitLab Adds Flat-Rate Code Reviews, Free-Tier AI Access, and Spending Caps
Open-core DevOps vendor GitLab has shipped versions 18.10 and 18.11 of its DevSecOps platform, with changes that give agentic AI to users on the free tier, that cut the per-review cost of automated code analysis, and give administrators hard limits on how much teams can spend on AI credits each month.
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Dropbox Collaborates with GitHub to Reduce Monorepo Size from 87GB to 20GB
Dropbox reduced its backend monorepo from 87GB to 20GB by optimizing Git delta compression in collaboration with GitHub. The changes improved clone times, CI performance, and developer velocity, highlighting how repository storage inefficiencies can impact large-scale engineering workflows.
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Sonatype Launches Guide to Enhance Safety in AI-Assisted Code Generation
Sonatype Guide is a real-time guardrail system that sits between AI coding tools and the open-source ecosystem, ensuring AI-generated code uses safe, valid, and maintainable dependencies.
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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.