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here's why most legacy modernization projects fail the ai doing the work can't understand code bases at scale it sees a small slice of context examine syntax and misses years of decisions distributed across the global application ecosystem blitzy solves this the way it solves everything grounded in your code before any migration begins blitzy's agents reverse engineer the entire legacy system into a persistent knowledge graph every dependency every constraint every piece of tribal knowledge that used to live in one engineer's head from that understanding Blitzy autonomously executes language migrations, framework upgrades, and monolith to microservices transformations, all validated end-to-end. One Blitzy customer modernized a $10 million monolithic insurance stack in 16 weeks against a 137-week baseline with coding agents. That's 9x compression. Retire technical debt while accelerating your roadmap. See how at Blitzy.com. That's B-L-I-T-Z-Y dot com.

This episode is brought to you by Retool. Generating a working app now takes about five minutes thanks to AI. Getting it safely into production, with auth, permissions, audit logs, security reviews, that part still takes time. That's the gap Retool closes. Build apps however you want. Natively in Retool, with Claude Code, Codex, or any coding agent, or by importing React you've already built. It all deploys into Retool and picks up governance automatically. Security lives in the platform, not in whatever the AI wrote. So your team ships at AI speed without the shadow IT and the endless reviews that stall out most vibe-coded projects. It's why teams at Amazon, Stripe, and Brex build on Retool. And new enterprise customers who sign by September 30th get up to $10,000 in AI credits per year. Start building at retool.com slash ai daily.

This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales as agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash aidailybrief.

With the emergence of AI code generation in 2022, Nvidia Master Inventor and Harvard engineer Sid Pareshi took a contrarian stance. Inference-time compute and agent orchestration, not pre-training, would be the key to unlocking high-quality AI-driven software development in the enterprise. He believed the real breakthrough wasn't in how fast AI could generate code, but in how deeply it could reason to build enterprise-grade applications. While the rest of the world focused on copilots, he architected something fundamentally different. Blitzy, the first autonomous software development platform leveraging thousands of agents that is purpose-built for enterprise-scale code bases. Fortune 500 leaders are unlocking 5x engineering velocity and delivering months of engineering work in a matter of days with Blitzy. Transform the way you develop software. Discover how at blitzy.com. That's B-L-I-T-Z-Y.com.

This episode is brought to you by Retool. Generating a working app now takes about five minutes thanks to AI. Getting it safely into production with auth, permissions, audit logs, security reviews—that part still takes time. That's the gap Retool closes. Build apps however you want, natively in Retool with Claude, Code, Codex, or any coding agent, or by importing React you've already built. It all deploys into Retool and picks up governance automatically. Security lives in the platform, not in whatever the AI wrote. So your team ships at AI speed without the shadow IT and the endless reviews that stall out most vibe-coded projects. It's why teams at Amazon, Stripe, and Brex build on Retool. And new enterprise customers who sign by September 30th get up to $10,000 in AI credits per year. Start building at retool.com/ai

This episode of the AI Daily Brief is brought to you Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash aidailybrief.

Here's a harsh truth. Your company is probably spending thousands or millions of dollars on AI tools that are being massively underutilized. Half of companies have AI tools, but only 12% use them for business value. Most employees are still using AI to summarize meeting notes. If you're the one responsible for AI adoption at your company, you need Section. Section is a platform that helps you manage AI transformation across your entire organization. It coaches employees on real use cases, tracks who's using AI for business impact, and shows you exactly where AI is and isn't creating value. The result? You go from rolling out tools to driving measurable AI value. Your employees move from meeting summaries to solving actual business problems. And you can prove the ROI. Stop guessing if your AI investment is working. Check out Section at sectionai.com. That's S-E-C-T-I-O-N AI.

Thank you. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash aidailybrief.

One thing I keep seeing in enterprise AI, companies hedging across every cloud, every model, every framework, or paying a GSI for a pilot that never ends. The team's actually shipping, they've picked a lane and they move fast. That's one of the reasons I like today's sponsor, Robots & Pencils. They've gone all in on AWS. They're an advanced tier and AWS pattern partner, and they ship production AI coworkers in 45 days. That's led to them doing some of the more interesting work I've seen on AI coworkers. And by that, I'm not talking about chatbots. I'm talking about actual agentic systems that sit inside a business architecture and do real work. That kind of focus matters if you're an enterprise leader trying to get something real into production or an AWS rep trying to move a customer from interested to deployed. Request an AI briefing at robotsandpencils.com. One conversation with robots and pencils and you'll know.

Blitzy is driving over 5x engineering velocity for large-scale enterprises. A publicly traded insurance provider leveraged Blitzy to build a bespoke payments processing application, an estimated 13-month project, and with Blitzy, the application was completed and live in production in six weeks. A publicly traded vertical SaaS provider used Blitzy to extract services from a 500,000-line monolith without disrupting production 21 times faster than their pre-Blitzy estimates. These aren't experiments. This is how the world's most innovative enterprises are shipping software in 2026. You can hear directly about Blitzy from other Fortune 500 CTOs on the modern CTO or CIO classified podcasts. To learn more about how Blitzy can impact your SDLC, book a meeting with an AI solutions consultant at blitzy.com. That's B-L-I-T-Z-Y dot com.

This episode of the AI Daily Brief is brought to you by Hyper Agent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. Hyper Agent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash aidailybrief.