Backend integration engineering: typed clients with the production resilience layer—retry/backoff, idempotency, rate-limiting, webhook signature verification, mock server and offline tests—that SDK generators skip.
Your team wants to use AI in design work. You don't need another tool list — you need a working system. Get: workflow audit, prompt pack, review loop, guardrails, and a 2-week rollout plan. Built by a principal-level product designer. For design leads, founders, PMs.
Turn your AI pilot data into a traceable decision pack with TCO, ROI, NPV, payback, sensitivity analysis, evidence gaps, risks, and clear next steps.
Expert in end-to-end AI-assisted software delivery, from design engineering and design systems to shipping: design engineering, design system automation, technical documentation, spec-driven planning, polyglot code quality, systematic QA, release auditing, LLM context engineering, and Astro frontend optimization. Built for agent-agnostic workflows across the full 9-skill delivery lifecycle.
An AI-powered fitness coaching assistant that creates personalized training plans based on the user's goals, fitness level, available equipment, and training schedule. It helps users structure workouts, record reported progress, and adjust future sessions based on the This AI tool provides general fitness and training information and is not a substitute for advice from a qualified healthcare or fitness professional. Users should exercise within their abilities and stop if they experienc symptoms
Un cycle Brainstorm → Spec validée → Plan à cases à cocher → TDD strict → Review de conformité, conçu pour les devs qui construisent des SaaS pilotés par IA (générateurs, agents, outils no-code) en HTML/CSS/JS vanilla ou Node/Express, avec intégrations multi-fournisseurs (Anthropic, OpenAI, Gemini, Mistral). Exemples d'usage : "ajoute une fonctionnalité X à mon générateur", "intègre un nouveau fournisseur IA", "refonds ce module"
Review AI agents, automation workflows, and project architectures for design gaps, risks, missing requirements, and improvement opportunities.
Find, verify, compare, and select open-source AI projects with live read-only Radar evidence, explicit constraints, license checks, alternatives, and candidate stack planning.