Isoform

Teaching AI to think like Engineers. Why Context, Not Code, Is the future of Software development. We're witnessing a fundamental shift in software development that goes far beyond % code generation metric. This isn't just about AI writing more code—it's about completely transforming how software is created. Just as Ford's assembly line transformed craftsmen into process managers, today's software engineers are evolving from coders to conductors. There's a crucial difference: while Ford's innovation deskilled manufacturing, AI is upskilling software development. Three forces make this transformation inevitable: * The collapse of SaaS economics (371 apps per enterprise is unsustainable) * The end of cheap capital * The maturation of AI The key insight? The path to AI-powered development isn't about better code generation—it's about better knowledge transfer. Engineers of tomorrow will focus on: * Strategic direction * Teaching context and complexity * Complex problem-solving * Quality and oversight Through Isoform, we're building the foundation for this future, where engineers operate at their highest level while their expertise is automatically applied at scale. Curious to hear your thoughts: How do you see the role of software engineers evolving in this AI-first future? #softwaredevelopment #ai #agent

All Roads Lead to Rome: Navigating the Paths to Autonomous Software Development I'm in the race toward fully autonomous software development and want to share my observations on the different paths companies are taking to make this vision a reality. Writing this helped me think, and I hope it will do the same for you. I looked into: - Why this goal is the holy grail - The distinct approaches being taken - Strengths, challenges, and strategic moves toward the promised land I believe that by sharing these observations, we can deepen our collective understanding of where software development is heading. I hope these insights provide value on your journey too. #AI #SoftwareDevelopment #agent

We’re excited to share that we’ve hit a 35% resolve rate on the SWE benchmark, placing us in the top 5—a big milestone for our small team! For context, this benchmark is the industry standard for evaluating the efficiency of AI coding agents. While this progress is worth celebrating, it’s just the beginning. The real challenge—and opportunity—is turning this into tangible value for our customers. We can’t wait to share what’s next as we work to create impactful outcomes for our customers. If you’re ready to get your integrations done 8x faster than the typical dev shop, contact me and let’s turn this progress into success for you!

I am honored that Theory Ventures mentioned us in their thesis on the new era of computing. So, how are “composable software” and “bespoke software” different? At Isoform, our mission is "Bespoke Software at Scale": https://lnkd.in/gfdmKQsZ. We hadn't thought about it from the lens of composibility until I read "Composable Software". At first, I thought both concepts were the same, but the details are very different. In a composable software future, platforms let users configure applications, workflows, and data to their specific business needs without heavy upfront investment. In a bespoke software at scale future, the concept of different software platforms is abstracted away. Users access tools designed solely for specific purposes, which are cheap to create or compose in the background. This is the superpower of Google and Facebook today and will be the reality for companies tomorrow. The thesis of composable software and the four key ways that enable it center on two key concepts. First is building a deep understanding of your customer's company. This is essential to becoming hyper "composable" and "bespoke". Second focuses on the core underlying infrastructure and the scalability of it. Only then does building composable software become repeatable. At Isoform, we're building software that is "bespoke" to the customer, requiring us to have deep understanding of their business with AI agent. And we're using AI to do it at scale so we can build towards a future consisting of composable software. https://lnkd.in/gpmWHYMT

Resolution(outcome) based pricing is gaining traction among AI native companies[1][2][3]. Investors like Astasia Myers, Tomasz Tunguz and Tanay Jaipuria and many others have also been discussing this topic as well [4][5][6]. Resolution-based pricing isn’t a cure-all. It shifts the risk onto the vendor, who must deliver the final result. Given the uncertainties inherent in current AI, margins will fluctuate with each resolution. However, this model aligns well with customer interests, and for AI-native startups, that’s what truly matters. If you decided to go with this pricing model. You have to two paths: 1. Tiny resolutions with Huge volume Sierra and Intercom both charges on customer support ticket resolution, an important part of any e-commerce company. A typical large e-commerce company handles 1k-5k customer support tickets daily. Assuming a 90% resolution rate, that would be 2500 average ticket per day X $0.99 per resolution X 90% success rate X 365 days => $821,250 annually. 2. XLarge resolutions with additional monthly subscription Mechanical Orchard and Isoform charges on large software project. The contract size exceeds six figures per project. And we(Isoform) also takes additional monthly fee to align with our customers on retaining tribal knowledge. Resolution/outcome-based pricing gives us an idea for the future, aligning well with customers by shifting risk to vendors. For AI-native startups, where customers are the top priority, this might be the only pricing model that matters. For a deeper dive into how different pricing models are evolving in the AI world, check out my piece here: https://lnkd.in/gpS4FSgh [1] https://lnkd.in/gcRpiny6 [2] https://lnkd.in/gVntHrZ8 [3] https://lnkd.in/g59yyjRK [4] https://lnkd.in/g5JQXipw [5] https://lnkd.in/gJkAhNtf [6] https://lnkd.in/ggqGeMNd