Insights on software engineering, architecture decisions, and technology trends from the BuzzSoftware team.
Most agency searches go wrong before the first call. The shortlist gets surfaced by SEO, the pitch decks all say the same thing, and four months later you find out the senior team you met isn't the team building your product. Here's what to look for, what to put in the contract, and the red flags worth treating as deal-breakers.
Shopify is the right answer for 80% of e-commerce businesses. The other 20% keep getting talked into it anyway, then spend two years fighting it. Here's how to tell which side of the line you're on — including what Hydrogen and Medusa actually solve, and what custom commerce really costs.
LLM agents work in demos and break in production. The teams shipping reliable agents are not chasing smarter models — they are wrapping them in control layers: tool whitelists, scope boundaries, budget caps, fallback chains, and telemetry that make failure observable and recoverable.
Single-shot retrieval breaks the moment a real user asks a real question. This is how we built Teilor's production knowledge base: query decomposition, retrieval orchestration, cross-encoder reranking, and grounded citations — across hundreds of internal documents in Romanian and English.
Your SaaS organic traffic is flattening because users now ask ChatGPT, Claude, and Perplexity instead of Googling. Generative Engine Optimization is the new playbook — and the rules are different. Here is what we are seeing work for B2B SaaS in 2026.
The classic principles of software engineering were written for human readers. LLM-assisted development changes the economics of code: some principles get reinforced, others quietly invert. Here is which ones still earn their keep in 2026.
Layered architecture made sense when teams wrote every line of code by hand. With AI-assisted development, the costs and benefits flip — and vertical slices, organized by feature rather than by technical role, are quietly becoming the default for teams that ship fast.
Domain-Driven Design felt like overkill to many teams a decade ago. With LLM-assisted development, the calculus has changed: the domain model is now the prompt boundary, aggregates are natural agent tool surfaces, and ubiquitous language is what stops your AI from confidently building the wrong thing.
The teams shipping fastest with AI assistance are not the ones writing the cleverest prompts. They are the ones writing the clearest specs. Spec-Driven Development turns natural-language requirements into executable plans that Claude, Cursor, and Codex can actually deliver on.
Every engineering team has tried Claude, Cursor, or Copilot by now. Most teams got faster at typing. A small number got faster at shipping. Here is what separates them — the workflows, the specs, the guardrails — based on what we run inside the studio.
Every B2B vendor has shipped an "AI feature" by now. Most are wrappers. A smaller cohort has wired LLMs into the workflow in ways that actually change the buying decision. Here is what separates the two — and the patterns we keep seeing in production.
There is no universally right stack — but there is a wrong one for your team, your hiring market, and the product you're actually building. Here is the framework we use when clients ask us to pick for them, and the questions that matter more than the React-vs-Vue debates.
Discovery, build, launch — that's the quote most agencies will send you. Then comes the part nobody puts on the invoice: three years of maintenance, the rewrite you didn't plan for, and the cost of the team you have to keep around. Here is the full line-item breakdown.
Most teams that split their monolith into microservices regret it inside two years. Most teams that stayed monolithic past 50 engineers regret it too. Here is how to tell which side of that line you're on — and what to do once you know.
Salesforce bills per seat. HubSpot bills per contact. Past a certain headcount and data shape, the per-seat math tips and the in-house build becomes cheaper than the SaaS line item. Here is where that crossover usually lands, and what to build when it does.