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THE DAILY INDEX

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AGENTIC CODING REMOVED THE RATE LIMIT ON WRITING CODE

Everything downstream still has one. Forrester quantified the difference: onboarding 80% faster, an eight-month migration done in two, and 40% of QA and security time back. Learn more at GitLab Transcend, live on October 6 [4]. → KEEP THE CODING AGENT YOUR TEAM ALREADY PICKED. Connect Claude Code, Codex, or your own agent to GitLab over open Model Context Protocol. → RUN THE SOFTWARE DEVELOPMENT FLOW IN VS CODE, VISUAL STUDIO, OR JETBRAINS. Hand an agent the whole task instead of the next line. → PROVE WHICH AGENT DID WHAT, AND WHO SET IT GOING. The audit trail names both, and the agent never gets more access than the person who triggered it. → WATCH WHAT HAPPENS AFTER THE COMMIT: review, pipelines, artifacts, security checks, and deploys.

YOUR COMPANY'S OPERATIONAL DATA COULD BE WORTH $100K–$2M+

micro1 partners with companies to license operational data for training and evaluating frontier AI models. If your company has 30+ employees and years of data showing how work actually gets done, including SOPs, project histories, knowledge bases, CRM data, QA processes, or internal workflows, it could qualify for an Enterprise Data Partnership. Businesses can earn $100K-$2M+ [5] depending on the volume, quality, and uniqueness of their data. Your company retains ownership of its underlying data, and all data is securely transferred, de-identified, masked, and transformed before onward licensing for AI training.

YOUR STORAGE COSTS SHOULDN'T SPIKE WHEN DATA MOVES

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