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Explore by topic
Six durable entry points keep every article close to the main blog hub.
AI and agents
Engineering, operating and evaluating AI systems, coding agents and model infrastructure.
Product and MVP
Validate demand, shape scope and turn uncertain product bets into testable releases.
Delivery and QA
Architecture, production readiness and quality practices for software that must keep working.
Leadership and teams
Fractional leadership, AI-enabled teams and the operating decisions behind delivery.
Business and regulation
Buying software, funding delivery and navigating governance, contracts and regulation.
Web3 and privacy
Blockchain infrastructure, cryptography and privacy technologies evaluated for production use.
Evergreen field notes
- Blockchain Development Companies in Austria: 2026 ShortlistWho should build your Web3 product? Compare four Austrian providers, their published focus and the evidence to request before commissioning development.
- AI Agencies in Austria: A Project-Fit Shortlist (2026)Compare custom AI delivery, industrial applications and workplace platforms. A commercially interested, non-ranked shortlist with dated provider sources.
- Claude Code Design System: 4 Parts for On-Brand UIStop re-explaining your brand in every prompt. Build a reusable Claude Code design system with three Markdown files, an examples directory and a review loop that teams can govern.
- AI Agent Harness, Explained: The Reliability Layer Around an LLMA visual architecture, failure map and buyer checklist for the context, policy, tools, verification and observability that make an AI agent dependable.
- LLM Pseudonymization Gateways: Does the Prompt Leave GDPR Scope?Platforms in this category promise that pseudonymizing a prompt makes a hosted model safe to use. The 2025 CJEU ruling and the EDPB guidance say something narrower. Here is the evidence a buyer actually has to collect.
- Micro Agency vs Mid-Size Agency: How Big Should Your Software Partner Be in 2026?The one-person agency versus micro agency argument is a debate between sellers. Here is the buyer's version, with the team-size research, the 2026 agency margin data, and the four clauses that make a small partner safe to hire.
- Qwen3.8-27B: Self-Hosted Computer-Use Agents Without Exporting ScreenshotsAn open-weight model now leads desktop-operation benchmarks. What that changes for back-office automation you cannot send to a hosted API.
- Transformers.js Browser AI: When Local Inference Belongs in Your ProductA production guide to private in-browser AI: verified adoption, WebGPU and WASM, real cost, privacy boundaries, use cases, fallbacks and a 30-day pilot.
- Stateful LLM Platform Production ArchitectureAn anonymized field guide to persistence, tenant access, long-running jobs, external interfaces, deployment controls and continuous QA without a full rewrite.
- AI 3D Model Generators for Game Development: 2026 GuideWhich AI 3D tools can help a game team, and which outputs still need an artist? Compare hosted and self-hosted options, quality gates, licensing and engine handoff.
- AI-Ready Company Wiki: Architecture and Build GuideA buyer-focused blueprint for company knowledge that humans can edit and AI agents can retrieve with the same permissions, sources and review loop.
- AI Agent Contract Signing: eIDAS QES Integration GuideA developer and buyer guide to binding AI-generated contracts to human approval, remote QES, ID Austria or EUDI Wallet flows, validation and audit evidence.
- How to Self-Host LiteLLM in Production: 2026 GuideA security-first LiteLLM deployment guide for teams choosing their own AI gateway: architecture, Postgres, Redis, keys, upgrades, cost and go-live checks.
- Internal AI Agent Marketplace: A 2026 Enterprise Build GuideBuild a governed internal agent catalog employees will use. Architecture, listing contract, identity, context, evaluations, approvals, metrics and a 90-day rollout.
- Is Linux the Best OS for AI Agents? A 2026 Infrastructure GuideLinux gives AI agents a mature shell, open interfaces and several isolation layers. This guide shows where it wins, where it does not, and how to deploy agents without handing them the host.
- How to Make AI Writing Sound Human with Agent SkillsNo AI Slop, i-have-adhd and book-to-skill solve different writing problems. Here is how to combine, test and govern them without erasing your voice.
- PII Redaction Before LLM Prompts: A Practical PipelineCompare Presidio, OpenAI Privacy Filter and managed DLP services. Then build a reversible prompt gateway that protects personal data without destroying task context.
- Why AI Agent Projects Get CancelledWhat Gartner's forecast does and does not show, plus an evidence-based review of value, evaluation, tools, cost, handoff, data, scope and governance risks.
- The MVP Is Dead. Build a Minimum Credible Product.AI can reduce prototype effort, not the need for product judgment. Avoidable roughness may damage the signal an MVP should collect. A practical case for less scope, one trustworthy path, and decision-grade evidence.
- What Test-Driven Development Can and Cannot ProveTDD can tighten feedback and make intended behavior executable, but it is not a guarantee of defect-free or secure software. Use it as one layer in a risk-based testing strategy.
- Fractional CTPO vs CTO and CPOWhen one combined product-and-technology lead can reduce handoffs, when to split the remit, and how to assess capacity, independence, decision rights, and continuity without a fixed team-size rule.
- Choosing a Software Project Pricing ModelCompare time-based, fixed-price, and staged hybrid models by uncertainty, change control, acceptance criteria, budget limits, and delivery evidence.
- Smart Contract Pre-Audit Checklist (30 Questions)Thirty risk-based questions for Solidity teams covering specifications, toolchains, privileges, external calls, upgrades, economics, testing, and operations.
Latest articles
Nine articles per page, ordered by publication date.
AI & AgentsLaya vs Jev: What the Benchmarks Mean for AI Startups
Can an open specialist undermine a two-year head start? What Laya actually shows, what the Jev comparison misses, and where a defensible AI business can create value.
AI & AgentsGoogle AX Agent Executor: Budgets and Self-Hosting
A sandbox is not a spending cap. What Google AX really controls, what survives suspend/resume, and which dependencies matter when you want to own your AI.
AI & AgentsWikiSkill: How Agents Evolve SKILL.md from Experience
WikiSkill compiles agent traces into a persistent evidence wiki, then validates atomic changes to SKILL.md. We review the benchmarks, transfer results, limits and production architecture.
AI & AgentsTencent Octop Review: What Builders Actually Get for Free
Tencent released Octop under MIT, with multi-user agents, a dashboard, automation and storage. We examine what is really included, what is not and what a production fork still costs.
AI & AgentsWigolo Review: Local Web Intelligence for AI Agents
Wigolo gives AI agents local-first search, fetch, crawl and research without a paid search API. We verify the ten-tool surface, cache, privacy, AGPL license and production limits.
AI & AgentsJev AI Review: Decision Models for Agent Workflows
Jev makes typed decisions instead of prose. See how it can route models, govern agent control steps and support bounded automation without replacing hard rules.
AI & AgentsSupermemory: AI Agent Memory, RAG and Local Setup
Give your AI agent context between sessions without building the memory pipeline yourself. A practical Supermemory guide with API code, local setup and an honest benchmark review.
AI & AgentsAI Agent Design Patterns: Start Simple, Verify Actions
More loops are not automatically better. Choose the smallest agent architecture that solves the failure, and separate a proposed action from permission to execute it.
Business & RegulationAI Agencies in Austria: A Project-Fit Shortlist (2026)
Compare custom AI delivery, industrial applications and workplace platforms. A commercially interested, non-ranked shortlist with dated provider sources.
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