Edge AI in 2026: why smaller models (on device) become a competitive advantage
Latency, cost, privacy: when running AI locally makes more sense than cloud.
2 min readedge-aiaimodelslatencyprivacy
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120+ agent tools: how to choose without falling for the hype
A simple method to select an agent and automation stack without changing everything every month.
2 min readagentstoolsstackevaluation
"The value isn't writing code": how to choose what to build (and not waste months)
A simple method to decide features and products with clarity, even when using AI.
2 min readproductprioritizationaivalueframework
AI in the real world: scams with fake images and what devs can do
AI fraud is already happening; learn patterns and defenses (detection, audit and limits).
2 min readsecurityaifraudimagesproduct
AI-assisted day to day: use it for mechanics, be skeptical on architecture
A set of practical rules for using AI without losing technical standards.
2 min readaidevelopmentbest-practicesarchitecture
Legal and license risk: the side almost no one considers when using AI in code
How to avoid headaches with open-source licenses, IP and code snippets in PRs.
2 min readlicensesipaiopen-sourcecompliance
Multi-agent: how to split roles to gain speed without losing control
A simple team-of-agents model to build features in parallel.
1 min readmulti-agentaiorchestrationroles
Observability for AI apps: what to log so you're not flying blind
If you have AI in the flow, you need to log prompts, tool calls and decisions (with privacy).
2 min readobservabilityailogsprivacy
Post-quantum for devs: what you need to know without becoming a cryptographer
A practical guide to crypto-agility and why teams are testing post-quantum authentication.
2 min readsecuritycryptographypost-quantumcrypto-agility