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JetBrains and eSense partner to strengthen Saudi Arabia's enterprise software-development. JetBrains, the global software company behind some of the world's most widely used professional developer tools, today announced a partnership with eSense to help government and enterprise organisations in Saudi Arabia strengthen their software-development capabilities, modernize engineering practices and adopt AI across the software-development lifecycle with greater visibility and control. The partnership comes as Saudi Arabia continues to expand its technology sector under Vision 2030. According to the Ministry of Communications and Information Technology, the Kingdom's ICT market has grown from SAR 105 billion prior to Vision 2030 to SAR 190 billion in 2025, while the number of jobs in the sector has increased from approximately 250,000 in 2018 to more than 406,000 in 2025. AI adoption is also accelerating, with data from the General Authority for Statistics showing that 33.1% of establishments used AI technologies in 2025, rising to 61.1% among establishments in the information and communications sector. This growth is increasing the need for professional engineering tools and practices that can support the development, quality and governance of software at scale. Founded in 2000, JetBrains is the global technology company behind widely used developer tools including IntelliJ IDEA, PyCharm and Rider, as well as Kotlin, the open-source programming language. Its products help developers and organisations build, understand, test and deliver software more effectively, supporting the full software development lifecycle from coding and collaboration to continuous integration, code quality and deployment. As a local JetBrains channel partner, eSense is a Saudi company, headquartered in Riyadh and serving the region, which brings more than two decades of experience delivering technology solutions to government and enterprise organisations. The Saudi-based company works with more than 200 government and enterprise customers, with capabilities spanning software engineering, Agile and DevOps delivery, cloud infrastructure, security, data and AI. Through the partnership, eSense will help Saudi organisations select and adopt the JetBrains tools that best fit their engineering environments, while providing local expertise across licensing, implementation planning and team enablement. Together, the companies will support customers from assessing existing environments and defining technical requirements to improving development workflows, code quality, DevOps and continuous delivery. They will also help organisations introduce AI in ways that maintain engineering oversight. JetBrains and eSense are already applying this approach to a strategic technology initiative supporting Saudi Arabia's food-security priorities. The engagement combines JetBrains tools with eSense's professional services and software engineering expertise to improve the maintainability, quality and reliability of software supporting complex operational requirements. The company is already working with leading Saudi organisations, including SDAIA, stc Group, D360 Bank, Tamara, Tabby, and Cyberani by aramco digital and is looking to grow its presence in Saudi Arabia significantly as local software development scales up. "Saudi Arabia has built the region's largest technology market and one of its strongest digital talent bases. The next stage is about giving Saudi organisations the engineering capability to build, understand and maintain increasingly complex software for themselves," said Nadia Rinsky, Head of Business Development for the MENA region at JetBrains. "AI can help teams produce more code, but producing code is no longer the hardest part. The real challenge is ensuring developers can understand what enters the codebase, verify it and remain accountable for the result." "This partnership brings together JetBrains' deep expertise in code intelligence and professional software development with eSense's knowledge of Saudi organizations, technology environments and delivery requirements," she added. "We want to help customers strengthen the entire software development lifecycle - from the development environment and code quality to DevOps, continuous delivery and enterprise AI governance. This is about building lasting in-house engineering capability, not simply deploying another set of tools." "Saudi Arabia's digital ambitions are raising the standard expected of the software behind government services and enterprise operations," said Wisam Banat, Chief Executive Officer of eSense. "These systems must be secure, maintainable and capable of evolving as operational needs change. That requires more than access to technology: it requires strong engineering practices, local implementation expertise and teams that can take long-term ownership of what they build." "JetBrains has spent more than 25 years building tools around the real work of professional software teams. Combined with eSense's local engineering, DevOps and professional-services capabilities, that gives customers a practical route to improving their development environments, code quality and delivery processes. It also helps them adopt AI without losing the human understanding and accountability on which dependable software ultimately rests." Through JetBrains AI Enterprise, organizations can make AI assistance available within the development environments their teams already use to write, understand, test and maintain code. Administrators can manage access through user profiles, determine which AI providers are available to different groups, control the number of enabled users, and review adoption and impact metrics. Developers remain able to inspect AI-generated suggestions and changes before deciding whether they should enter the codebase. JetBrains AI Enterprise supports the JetBrains AI service and connections to OpenAI Platform, Azure OpenAI, Google Vertex AI and Amazon Bedrock. Different supported providers can be made available to different user profiles, allowing organisations to configure AI-assisted development according to their technology architecture, security policies and cost requirements. Saudi organizations can meet JetBrains and eSense at their joint LEAP 2026 booth in Hall 2, stand N10, or contact eSense to discuss JetBrains products and enterprise adoption requirements. LEAP 2026 runs in Riyadh until 3 September. Middle East News 247 produces the latest news for the Middle East region, with a key focus on the GCC nations: UAE, Saudi Arabia, Qatar, Bahrain, Kuwait, and Oman. Contact News Desk: [email protected] Follow Me:

TeamCity 2026.2: pipelines general availability, BYOK for AI Assistant, and more. September 2, 2026 This major update for TeamCity On-Premises introduces a number of pipeline improvements that are now moving out of EAP and joining build configurations as official, stable options for designing CI/CD workflows. JetBrains is also shipping a number of AI-related features, including an MCP toolset extension and the ability to choose any major cloud AI provider or your local LLM to handle all interactions with AI Assistant in TeamCity. As always, you can see the complete list in its documentation. JetBrains also roll out two bug-fix updates for its previous major TeamCity On-Premises versions: 2025.11.8 and 2026.1.4. TeamCity pipelines. General availability. TeamCity 2025.07 introduced pipelines as an Early Access Program (EAP) feature - instantly available on TeamCity Cloud and on request for TeamCity On-Premises. Since then, JetBrains has been steadily closing the gap with classic build configurations, adding build feature support, .NET steps, the ability to link pipelines into build chains, and more. With this release, pipelines move out of EAP and are now generally available on both TeamCity Cloud and On-Premises, for projects of any size and complexity. However, its development of pipelines does not stop here - see its roadmap for what's next. Improved branch handling. Pipelines are now much better equipped to handle branches when your YAML file is stored in a Git repository. You can now select repository branches while in Edit mode, and design unique workflows for each branch. In addition, pipelines are now better at handling protected branches - the most common technique for safeguarding your main branches from unverified commits. Starting with version 2026.2, pipelines show clear warnings that edits made in the UI cannot be pushed to protected branches directly, and suggest saving them to other branches instead. Run through failures. When setting up job dependencies, you can now enable Run job even if upstream fails to ensure a pipeline runs until the very end, even when there are errors. The pipeline run will still be marked as failed overall, but this feature lets you ensure that specific jobs (for example, cleanup or notification steps) always run. Promote pipeline runs. Promote - the button that triggers the downstream part of a build chain from an older, already finished build - now works for pipelines, not just build configurations. For example, you can promote a successful Build Docker image run into the Upload to DockerHub configuration or pipeline to re-deploy that artifact without rebuilding it. Debug jobs. You can now debug individual jobs without leaving Edit mode and triggering the entire pipeline. This small addition allows you to design complex workflows faster because you can fix problems as they arise instead of having to work your way through the failure log at the very end. Unbound pipelines. You can now create pipelines without VCS roots attached. Previously, this option was only available for build configurations. Choose the Without repository option when creating a pipeline to create a custom workflow that does not check out any remote sources. New MCP tools. Your AI Agents can now use three more tools designed to work with TeamCity pipelines: teamcity_pipeline_get, teamcity_pipeline_post, and teamcity_pipeline_delete. To avoid any accidents, the post and delete tools are only available in Brave mode, which has to be enabled manually. TeamCity AI. AI continues to reshape software development. The TeamCity team is taking a practical approach: using AI to solve real CI/CD problems and remove friction from everyday tasks - all while keeping you in control of which AI capabilities you use and how you use them. AI Assistant. AI Assistant now supports Bring Your Own Key (BYOK), enabling you to plug in any supported LLM. Go to Admin | AI Assistant and enter your developer AI API key. Then you'll be able to use Anthropic, OpenAI, Google Gemini, or any other supported model to inspect the builds and debug your CI workflows. MCP enhancements. In version 2026.1, JetBrains has implemented an MCP endpoint that allows AI agents to use a TeamCity server as a source of tools. In this release, JetBrains is adding three more tools that let you use your preferred AI solutions to manage pipelines in addition to classic build configurations and projects. Moreover, JetBrains has implemented the OAuth/PKCE authorization flow, which means you no longer need to manually issue a personal access token and pass it to your AI environment configuration. Rerun failed chain builds. The Dependencies tab of build configuration settings now includes a Retry Settings group. Enable the Use custom retry settings option and enter a positive number of retry attempts in the corresponding box when you want to delay a downstream build and automatically retry a failing dependency in place - no need to rerun the entire chain. IDE integrations. JetBrains has updated its IDEA plugin so that it now comes with its CLI tool and offers seamless MCP server registration. This means you can set up integration with Junie or third-party AI agents with little to no manual setup. The plugin core functionality has also been improved: You can now view the results of TeamCity tests from the IDE and launch remote runs with local changes that have not yet been committed. In addition, Kotlin Multiplatform developers working with IDEA and Android Studio can now install this plugin to claim an exclusive free-tier TeamCity Cloud subscription (currently capped at 30,000 build credits per month) where it's possible to run automatically generated pipelines that test and build your iOS applications. The plugin also simplifies TestFlight integration, making the process of deploying your iOS applications significantly easier. GitHub integration. The Pull Requests build feature can now match pull requests by their source branch instead of their branch reference. This lets TeamCity recognize separate pull requests in different repositories as related changes and build them together in the same build chain, even when GitHub assigns them different pull request numbers. DSL compilation mode. For projects that store Kotlin DSL versioned settings in remote repositories, you can now choose where TeamCity runs this code: on the server or build agents. Executing kDSL on build agents is less restricting and more secure, but both options come with certain trade-offs, so make sure to check its documentation for all recommendations and caveats.