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Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks

Sergio De Simone — Thu, 22 Oct 2026 14:00:00 GMT

A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because AI-generated code increases the workload in later stages of development, particularly code review.

By Sergio De Simone

Instagram Modernized its UI with an AI-Native Architecture, Cutting Token Costs by 33%

Sergio De Simone — Thu, 15 Oct 2026 16:00:00 GMT

Instagram Direct migrated its Android UI from the legacy Android View system to Jetpack Compose, creating an AI-native UI codebase that is easier for AI coding agents to understand, modify, and maintain. According to Instagram engineers, the migration reduced UI code volume by 50% and token costs per AI agent session by 33%.

By Sergio De Simone

Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy

Sergio De Simone — Wed, 14 Oct 2026 09:00:00 GMT

Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while retaining the flexibility to mix in cloud-based models for higher-level tasks. This approach gives developers greater control over data privacy, inference costs, network dependencies, and computational workload distribution.

By Sergio De Simone