agentic development
2 stories filed under agentic development on Beyond Market Intelligence. The newest of them: “Explore How GitLab 19.5 Brings Governed AI Agents Into Your Workflow” and “How AI agents are reshaping the data scientist's toolset”. GitLab 19.5, released October 15, puts agentic software development and governance at the center of the platform. Jupyter Notebooks gave data scientists a linear home for a linear workflow. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every agentic development story on Beyond Market Intelligence, newest first.
Explore How GitLab 19.5 Brings Governed AI Agents Into Your Workflow
GitLab 19.5, released October 15, puts agentic software development and governance at the center of the platform. Its MCP server is now generally available, opening the door for external AI agents to work alongside your team in more meaningful ways. This is about control meeting capability. If you are designing your identity architecture before your data models, you already understand why governed agents matter. Explore how GitLab is making that balance practical, not theoretical.
How AI agents are reshaping the data scientist's toolset
Jupyter Notebooks gave data scientists a linear home for a linear workflow. But that workflow is changing. As one data scientist notes, LLMs now write most of the code. The real bottleneck isn't execution anymore, it's orchestration. Why organize work around code cells when prompts can drive results? The ipynb abstraction may be holding us back. For those building agentic workflows, our piece on building guardrails for safer AI data access offers practical guidance on structuring these new pipelines.