Thursday, March 12, 2026

Start of archive·May 16

Top story

Platform WatchVercel Blog

How Notion Workers run untrusted code at scale with Vercel Sandbox

Notion is evolving into a developer platform by letting users build custom agents with external code execution. This requires solving hard infrastructure problems (isolation, credential security, scale) that matter to every platform betting on agentic workflows.

Notion Workers enable custom agents to sync external data, trigger automations, and invoke API calls

The briefs

As AI transforms software development workflows, the Staff Engineer role is evolving from technical architecture to AI-augmented team leadership. Engineering leaders need to rethink career paths and hiring strategies now.

Token costs becoming a concern for CTOs

AI Elements 1.9 lowers friction for developers building agent-powered interfaces by adding streaming JSX support and visual feedback components. This matters because real-time UI generation from LLM outputs is becoming table-stakes for production AI apps.

New <JSXPreview /> component for streaming/incomplete JSX with auto-tag closure

Intercom is evolving its AI customer service agent (Fin) from simple resolution metrics to outcome-based measurement—a signal that AI product maturity is moving beyond 'solved or not' to nuanced business impact. This reflects a broader shift in how companies evaluate AI deployment success.

Fin (Intercom's AI agent) moving from binary resolution metrics to outcome-based measurement

SAP is shipping AI-first procurement infrastructure that could reshape how Fortune 500 companies handle source-to-pay workflows. This is enterprise software meeting the AI economy—and it matters because procurement touchpoints are where AI agents can immediately extract value at scale.

SAP Ariba next-gen product launch focused on AI-native architecture

As AI agents move into mission-critical workflows (incident management, API orchestration), debugging and transparency become governance-critical. AgentRx addresses a blind spot: how to trace agent failures when hallucination or logic errors cause real business impact.

AgentRx framework introduced by Microsoft Research for AI agent debugging

This strategic analysis attempts to map the current AI landscape and predict future developments, providing frameworks for leaders to think about positioning and timing in the evolving AI market.