Insights
Insights
Guides and articles on software development, AI, SaaS, mobile, architecture, and industry digitalization for Nordic decision-makers.
- AI Agents vs. Chatbots: What's the Real DifferenceChatbots, LLM chat assistants, and AI agents explained with a clear technical line, a comparison table, and a decision framework for your use case.
- AI Knowledge Assistants for Internal Operations: A Practical GuideA practical guide to internal AI knowledge assistants: how RAG grounds answers in your documents, rollout strategy, governance, and fit criteria.
- API Design Practices for Long-Lived, Multi-Consumer SystemsA technical reference on API design for systems integrated against for years: resource modeling, versioning, auth, pagination, errors, and compatibility.
- AWS vs. Azure: Choosing a Cloud Platform When Microsoft Ecosystem Fit Is the Real QuestionA grounded comparison of AWS and Azure covering managed services, identity integration, and when Microsoft-ecosystem fit should drive the decision.
- How to Choose a Software Development PartnerA vendor-neutral framework for evaluating software development partners — technical fit, delivery models, security, team, and red flags to check before signing.
- CI/CD for Software Teams - Building a Reliable PipelineA practical guide to building a CI/CD pipeline: core stages, canary and blue-green deployments, feature flags, environment parity, and a team maturity model.
- Software Trends Shaping Climate Tech and Energy OperationsHow asset monitoring, SCADA/IoT integration, grid-edge coordination, and reporting automation are reshaping software needs in energy operations.
- A Practical Framework for Cloud MigrationA technical framework for cloud migration: assessment, the 6 Rs strategy model, sequencing, containerization, cutover, and post-migration cost governance.
- Custom ERP vs. Off-the-Shelf ERP - What's Actually DifferentHow custom and off-the-shelf ERP actually differ: process fit, module bloat, data ownership, and migration risk - plus a decision framework.
- Custom Software vs. SaaS - How to DecideA practical framework for choosing custom software vs. SaaS: cost over time, differentiation, data control, lock-in risk, and hybrid options.
- Automating Document Processing and Data ExtractionA practical guide to automating invoice, contract, and form processing — extraction methods, accuracy trade-offs, architecture, and ROI.
- Enterprise Architecture: Connecting Systems Without Creating ChaosA practical guide to enterprise architecture: integration patterns, system of record, data sync tradeoffs, governance, and auditing your system landscape.
- Event-Driven Architecture: When and How to Use ItA technical guide to event-driven architecture: patterns, message broker fundamentals, real tradeoffs, and when to choose events over a synchronous API call.
- A Buyer's Guide to Fleet Management SoftwareA fleet-specific buyer's guide covering core capabilities, hardware and connectivity, build-vs-buy, integration, and driver-data privacy.
- GDPR-Relevant Engineering Practices for Software TeamsA technical guide to data minimization, erasure, portability, consent, and residency for engineering teams building GDPR-relevant software.
- A Buyer's Guide to Healthcare Administrative SoftwareA practical framework for buying healthcare administrative software: regulatory scope, data security, EHR/EMR integration, and vendor evaluation.
- How to Build an MVP: A Practical FrameworkA concrete framework for scoping an MVP: find your riskiest assumption, triage scope, choose the right measurement, and avoid common mistakes.
- Software Platforms for Logistics Operations: What to BuildA practical guide to fleet telematics, warehouse management, route optimization, and shipment visibility, and how to sequence logistics software investment.
- Manufacturing Digitalization: A Practical FrameworkA practical framework for manufacturing digitalization: bridging OT/IT, shop-floor visibility, MES, predictive maintenance, and staged rollout.
- Microservices vs. Monolith: Choosing the Right ArchitectureA technical comparison of microservices and monolithic architecture: tradeoffs, Conway's Law, data consistency, and a practical decision framework.
- Node.js vs. Laravel: Choosing a Backend FrameworkA technical comparison of Node.js and Laravel for backend development - I/O model, ecosystem, hiring, and a practical decision framework.
- OpenAI vs. Anthropic: Choosing a Foundation Model Provider for Your ProjectA practical comparison of OpenAI and Anthropic for applied AI projects — what actually differs, and how to choose based on your workflow.
- Product Discovery: Validating What to Build Before You Build ItA practical guide to product discovery — the process of validating what to build before scoping or writing any code, with real techniques.
- React Native vs. Flutter: Choosing a Cross-Platform FrameworkA technical comparison of React Native and Flutter covering architecture, performance, ecosystem, and team fit to help you choose a mobile stack.
- How to Scale a SaaS Product Beyond Early GrowthA technical framework for scaling a SaaS product past early growth: database patterns, multi-tenancy tradeoffs, observability, and process scaling.
- What Drives Software Development Cost in Sweden - A Factors FrameworkWhat actually drives software development cost: scope, team seniority, delivery model, compliance, location, and duration — a factors framework, not a rate card
- Modernizing Legacy Software Without Starting OverA decision framework for modernizing legacy applications: real warning signs, the strangler-fig pattern, and when a full rewrite is justified.
- Software Security Fundamentals for Engineering TeamsA practical guide to threat modeling, secure SDLC, dependency hygiene, authentication, and least-privilege design for engineering teams.
- What Technical Due Diligence Actually CoversA practical framework for what a rigorous technical due diligence review should assess before a software company is acquired, funded, or merged.
- Warehouse Management Systems - Build vs. BuyA build-vs-buy framework for warehouse management systems: TCO, integration, data accuracy, and when a hybrid WMS approach makes sense.
Browse by topic
- Custom Software DevelopmentThe decisions that come before writing any code: whether to build custom software at all, how to evaluate and choose a development partner, what realistic cost and timeline ranges look like, and how to run discovery so the resulting scope reflects the actual problem rather than an assumed one.
- AI DevelopmentApplied AI for internal operations — AI agents versus chatbots, document processing and extraction, and knowledge assistants — written for teams evaluating where AI genuinely fits a workflow versus where it's a solution looking for a problem.
- Architecture & Systems IntegrationStructural decisions that are expensive to reverse once a system is in production: microservices versus a monolith, event-driven versus request-driven integration, API design, ERP build-vs-buy, and how a landscape of independently built systems stays coherent as it grows.
- Modernization & CloudEvolving what already exists rather than replacing it outright — legacy modernization strategy, cloud migration, CI/CD for teams that don't have it yet, and technology-migration comparisons for codebases with real production history behind them.
- Industry DigitalizationSector-specific software buying and build decisions — manufacturing, logistics and fleet operations, warehousing, healthcare, and climate tech — where the right system type depends heavily on the operational pattern of that specific industry, not a generic software checklist.
Have a specific question in the meantime?
While we publish these incrementally, the fastest way to get a real answer is to ask us directly.