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YOUR ENGINEERS ARE FINDING BETTER WAYS TO WORK WITH AI. ARE THOSE PRACTICES SPREADING?

Span surveyed more than 100 engineering leaders [5] about how their teams use coding agents. 68% say the gap between their strongest and weakest engineers has widened since their teams adopted AI. Only 19% say effective practices become team or organization standards. Help more engineers apply what works. Span connects coding agent sessions to outcomes so you can identify effective practices, share them across teams, and measure progress.

YOUR GUIDE TO COMPARING PRODUCTION-SCALE AI INFERENCE

Most inference platforms were designed to get products running, not keep them running at production scale. Download the guide [5] to understand why abstracted pricing breaks at scale, how to align spend to GPU infrastructure, and how to compare inference providers across the dimensions that matter. You'll learn how to move confidently from POC to production, and validate an inference solution before you commit. Get the guide [6].

SIMPLIFY RAG WITH REDIS CLOUD AND AMAZON BEDROCK

What if a tool already in your stack could handle vector data reliably and efficiently? Redis Cloud combines with Amazon Bedrock to deliver production-ready RAG using your existing infrastructure: * FAMILIAR TOOLING: Vector storage with the same syntax and tooling you already know — no new libraries required. * ENRICH LLM CONTEXT: Add data to LLMs without fine tuning or training a model. * FREE TRIAL: Activate your Redis Cloud free trial [4] in AWS Marketplace.

SPEND ENGINEERING TIME BUILDING, NOT INTEGRATING VENDORS

Many fintechs stitch together vendors across payments, fraud, and money movement. The result: a fragmented stack that slows you down. Stripe unifies it all so you can focus on your customers. LEARN HOW COMPANIES ARE USING STRIPE [5] Issuing to launch card programs quickly, move money instantly, and create new revenue streams—and how you can do the same. SEE HOW COMPANIES GROW WITH ISSUING [6] → EXPLORE STRIPE'S FINTECH PLATFORM [7] →

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