• Cryptocurrencies

    2024 Crypto Runbooks Fail Production in 2026

    October 22, 2026 - By 

    A wallet request can time out after it has been broadcast, leaving the caller unable to tell whether retrying will create a second transfer. Since 2024, delegated accounts and more varied transaction paths have made that uncertainty harder to contain. My position: a production wallet needs a durable intent record before it needs another signing integration. If no component owns recovery, scaling workers only scales the ambiguity. The old build-or-buy boundary no longer matches the recovery boundary I disagree with Your 2024 Crypto Build-vs-Buy Playbook Is Obsolete if its sourcing question is treated as the production decision: buying signing, RPC,…

  • Robotics

    CTO, Score Robotics Stacks Before You Build or Buy

    October 13, 2026 - By 

    A vision API can win a demo and lose the procurement decision: the invoice may be predictable while data retention, camera drift, and migration remain untested. For a first production app, I would buy inference only from a vendor that passes a priced exit test. If the contract or interface prevents that test, I would start with a licensed model running in-house, even if its initial accuracy is lower. A vendor trial should start with an exit test, not a leaderboard Before asking vendors for accuracy claims, write down what you would need to replace them. That means access to…

  • Generative AI

    RAG vs Fine-Tuning in Your First GenAI Backend

    October 6, 2026 - By 

    A coding assistant does not need to understand an entire repository before it can answer a developer’s question. It needs to find the right code, show where it found it, and avoid presenting stale guesses as facts. For a first implementation, I would choose live repository search over a vector index. Embeddings become worthwhile when real questions repeatedly defeat symbol and text search—not simply because the feature uses generative AI. Live repository search is the better default for code questions Consider a developer asking, “Where do we reject an expired session token?” The likely answer has a function name, an…

  • Generative AI

    CTOs, Your 2024 GenAI Build-vs-Buy Playbook Is Outdated

    September 30, 2026 - By 

    “Build or buy the AI” is the wrong question for a CTO in 2026. The useful boundary is narrower: buy model capability until your own evidence shows that owning inference or training improves the economics. Build the evaluation, data controls, and fallback paths yourself. Those assets remain valuable when an API price changes, an open-weight model improves, or a supplier’s terms stop fitting your product. The default has shifted from owning a model to owning the decision boundary Two years ago, advice to prototype with an API and then train a custom model often sounded like a natural progression. I…

  • Cryptocurrencies

    Your 2024 Crypto Build-vs-Buy Playbook Is Obsolete

    September 29, 2026 - By 

    A wallet decision that looked sensible in 2024 can be an expensive mistake in 2026. Ethereum accounts can now delegate execution logic, while custody vendors offer increasingly complete signing and policy services. I would buy the signing and key-custody layer for most teams, then build the transaction policy and recovery process in-house. The exception is a company whose wallet infrastructure is itself the product. Ethereum’s account changes weakened the case for building a signer first Before Ethereum’s Pectra upgrade, a common argument for an in-house wallet stack was that externally owned accounts could not support enough application-specific behavior. That argument…

  • AI Computer Vision - Custom Software Development

    Custom Vision Model or Pretrained API Which Fits Your First App

    September 10, 2026 - By 

    Most junior developers reach for model training too early because it feels like “real AI.” My position is stricter: start with a managed vision API unless the mistakes are product-specific, expensive, or impossible to explain away. Owning the model is justified only when control over labels, latency, privacy, or deployment clearly beats the extra work. The API-first choice wins more often than ambitious developers want to admit The practical decision is not “computer vision or no computer vision.” It is Managed Vision API versus Owned Model Pipeline. Managed Vision API means Google Cloud Vision API, AWS Rekognition, Azure AI Vision…

  • AI Computer Vision - Custom Software Development - Robotics

    Robotics Software Development Trends for Smart Automation

    September 3, 2026 - By 

    Robotics software development is becoming the foundation of intelligent automation, connecting machines, data, sensors, artificial intelligence and business systems into one coordinated environment. This article explores the main trends shaping modern robotics software, why they matter for companies, and how teams can build reliable, scalable and future-ready robotic solutions instead of treating robots as isolated machines. Why Robotics Software Has Become the Core of Smart Automation For many years, robotics was associated mainly with hardware: mechanical arms, motors, grippers, mobile platforms, controllers and industrial equipment. Hardware is still essential, but the competitive value of robotics has shifted toward software. A…

  • Autonomous UAV - Custom Software Development - Robotics

    Autonomous UAV Software Development for Smarter Flights

    August 13, 2026 - By 

    Autonomous drone technology is reshaping how aerial systems collect data, make decisions, and complete missions with minimal human input. This article explores how autonomous UAV software is designed, what technical layers make it effective, and why intelligent mission execution matters across industries. It also examines the practical demands of safety, scalability, and integration that determine whether autonomy succeeds outside the lab. The Software Foundation Behind Autonomous UAV Intelligence Autonomous unmanned aerial vehicles are often discussed in terms of hardware: airframes, batteries, sensors, propulsion systems, and payloads. Yet the true difference between a remotely operated drone and an intelligent autonomous platform…

  • AI Computer Vision - Custom Software Development - Robotics

    Robotics Software Development Trends for 2026

    August 4, 2026 - By 

    Robotics software is moving from isolated control systems to intelligent, connected, and continuously improving platforms. Businesses now expect robots to adapt, collaborate with people, and deliver measurable value across manufacturing, logistics, healthcare, and service operations. This article explores the major software shifts shaping modern robotics, why they matter commercially and technically, and how organizations can prepare for the next stage of automation. The New Architecture of Robotics Software Robotics is no longer defined only by mechanical precision or hardware sophistication. Increasingly, competitive advantage comes from software architecture: the layers that connect sensing, decision-making, control, simulation, orchestration, and analytics into one…

  • AI Computer Vision - Custom Software Development - Robotics

    Robotics Software Development Trends for 2026

    July 21, 2026 - By 

    Robotics software is moving from experimental projects to a core business capability, reshaping how companies design products, run operations, and scale automation. This article explores the most important trends influencing robotics software today, from AI-driven perception and cloud-native development to cybersecurity and team structure. It also explains how these shifts affect technical decisions, investment priorities, and long-term competitiveness. The New Foundation of Robotics Software Robotics has changed dramatically in the last decade. Earlier generations of robots were often designed for narrowly defined industrial tasks, operating in controlled environments with fixed programming and limited adaptability. Today, robotics software is expected to…