Practical decisions for AI and software
Technical guides to choose models, verify software and plan delivery.
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New comparisons, practical guides and engineering lessons.
QA for AI-Generated Code
A risk-based verification guide for AI-assisted code, covering trust boundaries, failure paths, dependencies, concurrency, operational evidence, and the limits of any review.
From Lovable and Cursor Prototype to Production: The Migration Checklist
Getting to a demo is fast. Getting to production is a separate project. The checklist we run to harden an AI-IDE prototype, auth, data, secrets, hosting, and the keep-vs-rebuild call.
Vibe-Coded Software Audit: What to Check Before Launch
A risk-based review of AI-assisted software, the evidence to examine before launch, and how to prioritize remediation.
RAG Production-Readiness Checklist for EU Companies
A RAG prototype is only a starting point. A risk-based review of retrieval, grounding, evaluation, cost, privacy, transparency, prompt injection, and permission-aware retrieval.
MVP Development for Startups in Austria: Agencies, Cost and Selection 2026
A sourced comparison of nine Austrian MVP providers by fit, public pricing, stated timeline, presence and proof, with Wavect's commercial interest disclosed and missing facts left unguessed.
How Much Does an AI MVP Cost in Austria in 2026?
Wavect's EUR planning bands by tier, the assumptions behind them, build/buy/fine-tune tradeoffs, ongoing costs, and Austrian funding routes that require case-specific eligibility checks.
When Not to Hire Wavect
Six situations where Wavect may be the wrong fit, the alternatives to evaluate, and the current engagement models Wavect actually offers.
Can a Software Studio Claim Austria's Forschungsprämie?
Austria's Forschungsprämie credits 14% of qualifying R&D expenditure to the tax account. Current eligibility, cost-base, FFG-opinion, contract-research, grant, and German-comparison caveats.
When Is an LLM Eval Worth Building? Cost, ROI, and Trusting the Judge
Scale LLM evaluation to impact, exposure, change frequency, and uncertainty. A practical guide to test design, judge validation, datasets, and total evaluation cost.
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