How AI Agents Are Changing Software Development

Part 6 of our Iron Triangle series explores how AI is reshaping software development. Generative AI tools can cut the unit cost of code and speed up delivery, but without guardrails, they can multiply bad code just as fast. AI does not break the Iron Triangle, but it can stretch it, making trade-offs less painful when paired with the right systems. 📺 Watch Part 6 of the Iron Triangle series. #SoftwareDevelopment #EngineeringLeadership #StartupExecution #IronTriangle

One way to think of introducing AI-assisted coding to your software org is to see it like a home builder moving from a hammer to a nail gun. Faster, but the fundamentals still apply. Sure, keeping humans in the loop to keep it on track can feel like moving slower than one-shot coding. But you could also say that the brakes on your car just slow you down on your journey. It's about safety! Without software "brakes" in the form of tests, reviews, security checks, refactoring, etc...you are just speeding as fast as you can toward the scene of the crash....which is convenient since that's where you're headed! That is why Bulwark's AI is built with guardrails, fine-tuning, and a dash of RLHF so that it knows "The Bulwark Way" to do things. Dev teams gain speed and cost savings without losing quality by delegating many of these best practices to our agents. AI might change the shape of the Iron Triangle..it might change the coefficients of the equation...but the trade-offs are still there. The key is paying attention and making those tradeoff decisions with intention, not just wishful thinking.

AI is revolutionising the way we approach software development. From automating repetitive tasks to building full applications from simple prompts, the landscape of programming is transforming rapidly. Embrace tools like GPT and Copilot to stay ahead, and shift your role from writing code to guiding AI intelligently. The future belongs to those who adapt and lead in this new era of autonomous development. Read more: https://heyor.ca/MKAtTi #AI #SoftwareDevelopment

AI isn’t coming for software engineers, it’s already sitting next to them. In this clip, Ankush Goyal, CPTO of fabric, shares how tools like Copilot, Claude, and Cursor have become everyday essentials for developers, and why he hasn’t met a single engineer who isn’t already using AI. #AI #Engineering #Innovation #TheInnovatorsPlaybook #TechLeadership

The AI Velocity Paradox Is Real Harness’s State of AI in Software Engineering 2025 report found that while 63% of teams are coding faster with AI, 72% have already faced production incidents from AI-generated code. Speed means little without automation. The real gains come when AI powers testing, security, and delivery, too. That’s how teams move from fast to resilient. Learn more: https://lnkd.in/dqdKhkUq

🚀 Faster Code, Slower Delivery — The AI Velocity Paradox Harness’s State of AI in Software Engineering 2025 report reveals that while 63% of teams ship code faster with AI, 72% have faced production incidents, and just 6% have fully automated delivery. The fix: extend AI beyond coding into testing, deployment, and security to turn speed into lasting advantage. Learn more: https://lnkd.in/dsipDMKY

📌 AI is no longer just a support tool—it’s transforming every stage of the Software Development Lifecycle In Coderio’s latest blog, our CEO, Javier López Ramos, uncovers how AI is reshaping planning, coding, testing, and deployment, driving efficiency and innovation like never before. Discover his new article at https://lnkd.in/dy3Vnhrg #Coderio #technology #softwaredevelopment #softwareoutsourcing #AI #Innovation

🚀 Faster Code, Slower Delivery — The AI Velocity Paradox Harness’s State of AI in Software Engineering 2025 report reveals that while 63% of teams ship code faster with AI, 72% have faced production incidents, and just 6% have fully automated delivery. The fix: extend AI beyond coding into testing, deployment, and security to turn speed into lasting advantage. Learn more: https://lnkd.in/e3GC7h2X

🚀 Faster Code, Slower Delivery — The AI Velocity Paradox Harness’s State of AI in Software Engineering 2025 report reveals that while 63% of teams ship code faster with AI, 72% have faced production incidents, and just 6% have fully automated delivery. The fix: extend AI beyond coding into testing, deployment, and security to turn speed into lasting advantage. Learn more: https://lnkd.in/gS3_9Qds

The AI Velocity Paradox Is Real Harness’s State of AI in Software Engineering 2025 report found that while 63% of teams are coding faster with AI, 72% have already faced production incidents from AI-generated code. Speed means little without automation. The real gains come when AI powers testing, security, and delivery, too. That’s how teams move from fast to resilient. Learn more: https://lnkd.in/gzPk927g