// research dossier · est. 2026
Every question worth asking,
deservesa real answer
42-research investigates the technical questions people genuinely care about but rarely verify rigorously. Every conclusion states the conditions under which it holds and links to clickable primary sources —no guessing, no echoing unverified claims.
Domains
domains/AI & machine intelligence
The real limits of model capability, and where AI tools actually fit in production — past the hype, into the data.
Architecture & infrastructure
The real cost and latency of edge, cloud, and database choices — modeled on actual usage, not vendor self-benchmarks.
Tooling & technology choices
How to choose frameworks, platforms, and paid services. Conclusions split by scenario, not one-size-fits-all picks.
Trends & judgment
Is a technology a real trend or just hype? Judged from primary signals and first principles, with falsifiable predictions on record.
Featured research
→ All research
Vibecoding：Cloudflare or Vercel？
对 AI 驱动的 vibecoding 开发模式，Cloudflare（Workers+D1+R2+Vite/VoidZero）与 Vercel（Next.js+v0）谁是长远最佳实践？基于官方一手定价、2026-06 生态趋势与对抗验证。
Microsoft Build 2026：AI Agent 全栈时间线
Microsoft Build 2026（2026-06-02~03，San Francisco Fort Mason）的 AI 主线，以时间线组织：从自有 MAI 模型层、Foundry agent 运行时、Microsoft IQ 知识底座，到 Windows agent OS 与治理栈。全部基于官方一手来源、可点击、可复核。
// why trust this
Why you can trust the conclusions
Primary sources only
Data comes from official docs or our own measurements — never second-hand summaries or marketing. Every fact carries a clickable source.
Conclusions state their limits
Every conclusion says where it holds and where it does not — no answer pretending to be universally true.
Self-rebuttal first
Before concluding, we actively seek counter-examples and question ourselves. Uncertainty is stated, not hidden.
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