{"id":9785,"date":"2024-07-02T12:00:00","date_gmt":"2024-07-02T12:00:00","guid":{"rendered":"https:\/\/dianapps.com\/blog\/?p=9785"},"modified":"2026-09-24T10:08:27","modified_gmt":"2026-09-24T10:08:27","slug":"cicd-strategies-used-by-custom-software-development-companies","status":"publish","type":"post","link":"https:\/\/dianapps.com\/blog\/cicd-strategies-used-by-custom-software-development-companies\/","title":{"rendered":"Top 6 CI\/CD Strategies Used by Custom Software Development Companies"},"content":{"rendered":"
Updated for June 2026:<\/strong> This guide now reflects current 2026 industry data, cost benchmarks, and best practices verified across DianApps client builds.<\/div>\n

No one on software development teams is wondering whether they need CI\/CD strategies; they’re only trying to figure out why it’s not fast enough already. 83% of developers engage in some kind of DevOps process in their workday, according to the State of CI\/CD report released in 2024 by the Continuous Delivery Foundation, which was based on data collected through Developer Nation surveys over more than 150,000 participants over three and a half years.<\/p>\n

This evolution affects the meaning of “CI\/CD strategy.” It is no longer choosing a solution and automating the build process; it is deciding how testing, infrastructure, monitoring, deployment and now AI-enhanced development processes all work together without breaking each other.<\/p>\n

This article is an updated version of our initial 2024 blog. The six strategies discussed below are exactly the same strategies we’ve employed in our customer projects so far but are up to date with current data, latest tools versions, and AI capabilities and risks.<\/p>\n

The CI\/CD pipeline is the automated process used to take a code change from a developer\u2019s laptop and deploy it into a live production environment, with testing being conducted at each stage of the process. It is based on three practices that are related but different from one another.<\/p>\n

Continuous Integration (CI<\/strong>): Developers make frequent code changes into the shared repository and trigger builds and tests for each change automatically. In this case, integration issues should be found within minutes, not weeks.<\/p>\n

Continuous Delivery<\/strong>: Every code change passed through CI is automatically put together into a release package but needs a manual approval from a person before the deployment to production is made.<\/p>\n

Continuous Deployment<\/strong>: The difference is that there is no more manual approval required and every code change which passes all tests is deployed into production.<\/p>\n

The processes mentioned above can be implemented using GitHub Actions, GitLab CI\/CD, CircleCI, and Jenkins. When it comes to choosing between continuous delivery and continuous deployment, it depends on how much risks a particular team is ready to automate.<\/p>\n

\"CI\/CD<\/p>\n

Why CI\/CD Still Matters for Custom Software Development Companies<\/h2>\n

The arguments in support of CI\/CD haven’t altered significantly since 2024; however, the statistics supporting them have become more clear. The adoption of CI\/CD has been shown to result in significantly improved delivery performance on all of the four metrics that make up DORA’s key performance indicators.<\/p>\n