With 55,000+ automotive jobs cut in 2024-2025 and supplier margins at 4.7%, Tier-1s face an existential choice: master software efficiency or become commodity players.
Read article →Automotive testing consumes 20-30% of development budgets—$24B market by 2030. With 80% surge in software recalls, documentation quality is the key blocker to automation efficiency.
Read article →Chinese OEMs develop vehicles in 24 months vs 45+ for traditional automakers. Learn how AI-powered compliance automation helps Western suppliers compete on speed while maintaining ISO 26262 and ASPICE quality standards.
Read article →See how GapLensAI integrates into your existing development ecosystem — VS Code, CI/CD pipelines, ALM tools, and enterprise dashboards. Three real-world use cases with architecture diagrams.
Read article →Recalls from BMW, Tesla, GM, and Mercedes expose what happens when compliance processes can't keep pace with software complexity.
Read article →The new standard demands rigorous documentation for qualifying legacy automotive software. Here's why most organizations are struggling—and how AI-powered documentation generation changes the equation.
Read article →56% of software defects originate in requirements—costing $1.35T annually. Here are the five foundational gaps blocking AI automation, and how to close them.
Read article →