Convex-backed realtime architecture, data modeling, and deployment patterns.
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AI agent deployment platform with infrastructure provisioning
Professional trading platform with real-time analytics
Email platform for AI agents with MCP/API inbox creation
Browser session automation platform with task orchestration
WCAG 2.2 AA compliance scanning with multi-engine analysis, AI evaluation harness, and RAG-grounded remediation
Apr 19, 2026
Platforms like LibreChat give you a production-ready chat UI, multi-model routing, and built-in Langfuse integration. Custom agent frameworks give you reactive UI, transactional tool execution, and full rendering control. Here is how I decide between them across four different products.
Apr 18, 2026
Microfrontends are not a default architecture. Here is how I decided to migrate from a frontend monolith to domain-based frontend apps, what changed in deployment speed and cost, and when this approach is worth it.
Apr 16, 2026
Part 1 of my portfolio AI series: Convex agent component design, RAG fundamentals, OpenAI vs Google provider testing, streaming UX, and how the frontend chat bubble and /admin/ai tooling live inside one reusable AI plugin.
Apr 15, 2026
Part 2 of my portfolio AI series: concrete eval results, ClickHouse monitoring signals, optimization decisions, recursion guardrails, and the measured before/after impact.
Apr 12, 2026
Our first AI feature hallucinated a compliance finding that did not exist. A client acted on it. Here is how we built input sanitization, output filtering, confidence scoring, and human-in-the-loop escalation to make AI output trustworthy.
Apr 10, 2026
AI scanners find accessibility violations that deterministic tools miss — but how do you know the AI is not hallucinating? We built an evaluation harness that measures precision and recall against axe-core ground truth, gates every prompt change with regression tests, and tracks quality drift in ClickHouse.
Apr 9, 2026
Both Cloudflare Workers and Convex let you run server-side code without managing servers. But they solve fundamentally different problems. After running both in production, here is when I reach for each one — and where they overlap more than you might expect.
Apr 6, 2026
Both .NET and Convex can power production backends. After building multi-tenant SaaS platforms, high-performance APIs, and real-time dashboards across both, here is how I decide which one fits — and when the answer is both.
Apr 5, 2026
We moved off Vercel onto a 128GB bare-metal server. Each client now gets their own frontend containers, their own Convex backend instance, and their own database backups — orchestrated with Kubernetes and Helm. Here is how we got here and what we learned about owning infrastructure.
Apr 4, 2026
Switching from Drizzle/Postgres to Convex collapsed the frontend-backend gap, doubled development speed, and let me cancel $230/month in third-party services. Here is how the migration worked and what it unlocked.
Mar 31, 2026
Neither ClickHouse nor Convex alone solves the trading chart problem. Here is how we split candle data between a columnar time-series engine and a real-time document database — and why the boundary sits exactly where it does.
Mar 29, 2026
Our trading dashboard polled every 5 seconds and users complained about stale data. We rebuilt on Convex with real-time subscriptions and the difference was not incremental — it was a different product.
Mar 28, 2026
Our first AI feature hallucinated a refund policy that did not exist. A customer followed it. Here is what we learned about putting language models in front of real people.
Mar 26, 2026
A customer asked for Monday.com integration. We could have hard-coded it into the core. Instead, we built a plugin system — and 18 months later we have 34 plugins serving 27 apps.
Mar 24, 2026
Our Monday.com plugin made 47 API calls per dashboard load. Users waited 8 seconds for data they had seen 5 minutes ago. Here is how we built a caching layer that made the integration feel instant.
