Exadel

AI coding tools have changed how software is written. But they haven't changed what makes software reliable. As AI accelerates development, Test-Driven Development (TDD) is becoming even more important. Tests provide the structure AI needs to generate maintainable, production-ready code while helping teams reduce regressions and technical debt. The future of AI-assisted engineering is not about generating more code faster, but about delivering better software with greater confidence. Explore why TDD has become an essential discipline in the age of AI coding. 📖 Read the article: https://lnkd.in/dnnNixww #Exadel #AI #TestDrivenDevelopment #AgenticAI #ExadelColleague

Exadel is now a Cursor Transformation Partner.   Most enterprises have a few developers getting real value from AI coding tools. The hard part is everyone else. That is the gap we are working on with Cursor.   We are an AI-first engineering company, and this is one more signal of it. We pair Cursor’s AI coding platform with our forward-deployed engineering teams and our enablement programs to help enterprises take AI-native delivery from individual developers to whole teams and the full software lifecycle.   What that looks like in practice: rolling Cursor out beyond early adopters, reshaping delivery workflows, building team fluency, and setting the standards that keep it working.   More soon on what we are building together.   #Cursor #AINativeDevelopment #SoftwareEngineering #Exadel

Everyone bought AI tools. Almost nobody fixed delivery. More prompts don’t clear the backlog. More copilots result in more rech debt. More experiments don’t ship the roadmap. Exadel Colleague is an AI SDLC accelerator built to help teams ship more software with less delivery drag. Discover more: https://lnkd.in/dCA4bSdz

What if your committed AWS spend could help clear your software delivery backlog? 💡 Many enterprises already have cloud budget allocated through AWS Enterprise Discount Programs (EDP). At the same time, engineering teams are under pressure to deliver more with the resources they have. Now, those two can work together. Exadel Colleague is available on AWS Marketplace, allowing organizations to access AI-enabled engineering teams through their existing AWS agreement. Exadel Colleague helps teams: ✅ Write tests before code ✅ Deliver review-ready pull requests ✅ Increase delivery capacity while keeping engineers in control If your organization already has committed AWS spend, it may be time to put more of it to work. 🔗 Learn more: https://lnkd.in/d6-PbKX6  #Exadel #ExadelColleague #AWSMarketplace 

The conversation around AI has changed. Today, financial institutions are focused on one thing: turning AI into business value. That's why we're heading to Fintech South in Atlanta. Our team—Sugra Naqvi and Ilan Pillai—will be meeting with banks, fintechs, and payment providers to discuss AI productionization, modernization, engineering capacity, and data. Not sure where your organization stands on its AI journey? Start with our AI Readiness & Maturity Assessment to identify the biggest opportunities and barriers to delivering AI in production: https://lnkd.in/eanAuW-z 📅 Attending the event? Book a meeting here: https://lnkd.in/ewcsekYp #FintechSouth #FinancialServices #EnterpriseAI #AIReadiness #Exadel

🟢 Exadel Colleague is now available on AWS Marketplace! 🟢 Bringing an AI delivery platform into the enterprise shouldn’t take months. Now, organizations can deploy Exadel Colleague directly through AWS Marketplace, making it easier to adopt agentic AI through existing AWS agreements and procurement processes. Exadel Colleague is our agentic AI software delivery platform. It works alongside engineering teams inside the tools they already use, writes tests before code, and delivers review-ready pull requests—while keeping engineers in control of every approval and release. 🔗 Explore Exadel Colleague on AWS Marketplace: https://lnkd.in/dn543WQz #ExadelColleague #Exadel #AWSMarketplace #AgenticAI #EnterpriseAI

The most expensive token is the one you didn't need to generate. Enterprise AI costs rarely spiral because of model pricing alone. They grow because the systems around the model are inefficient. - > Repeated context - > Poor model selection - > Verbose prompts - > Redundant agent workflows These are architectural challenges—and that's good news, because architectural challenges can be solved. Our latest whitepaper explores practical strategies to reduce LLM inference costs by 50–80% without sacrificing performance. If you're developing AI products or expanding GenAI across your organization, it's a practical guide to improving both performance and ROI. 📖 Download the whitepaper: https://lnkd.in/d4zpbU68 #Exadel #AI #EnterpriseAI #GenAI #ExadelColleague

100+ Human-Equivalent Hours recovered in a two-week sprint. Engineering capacity rarely disappears overnight. It disappears one maintenance ticket at a time. Routine fixes, small enhancements, and recurring backlog items all compete for the same engineering time. Over time, they slow legacy financial services modernization, delay new features, and make it harder to focus on strategic work. Our latest case study explores how a global financial services provider approached this challenge with Exadel Colleague, integrating our autonomous AI SDLC peer into existing software delivery workflows while keeping engineers in control of every critical decision. Swipe through the carousel to see how the team increased delivery capacity without changing the way they work. 🔗 Learn more about Exadel Colleague: https://lnkd.in/dBvG6SUY #Exadel #EnterpriseAI #AgenticAI #ExadelColleague

The easiest AI metrics to measure are often the least useful. That doesn't make them meaningful. As AI adoption grows, enterprise leaders face a bigger challenge than choosing the right model: choosing the right success metrics. In the latest article, Karol Przystalski, our Chief AI Officer, explores why focusing on token consumption can distract organizations from what actually drives ROI—and what leaders should measure instead. If your AI strategy is moving from experimentation to production, this perspective is worth a read. 📖 Read the full article: https://lnkd.in/dakjYUGN #Exadel #EnterpriseAI #AI #GenAI #ExadelColleague

AI-first shouldn't mean foundation-last. Many organizations are moving fast with AI.  Pilots are launching.  New tools are everywhere.  Boards want progress. But activity isn't the same as readiness. Before you scale AI across your business, ask a simple question: Is your organization actually ready for it? AI readiness isn't about how many copilots you've deployed. It's about whether your data, architecture, governance, operating model, and talent can support AI at scale. In our latest article, Devendra Sharma breaks down the 5 stages of AI readiness—a practical framework to help leaders distinguish between AI momentum and AI maturity. 📖 Read the article and discover where your organization stands: https://lnkd.in/dGRGWU5A #Exadel #AI #EnterpriseAI #AIReadiness #DigitalTransformation