NATS vs Kafka vs AWS SQS: A Decision Framework for Engineers
An honest comparison of delivery semantics, persistence, ops burden, fan-out, replay, portability, and cost — with symptom-based selection tables instead of benchmark wars.
Engineering Manager / Technical Lead
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Older writing on AI applications, software engineering, and developer tools.
An honest comparison of delivery semantics, persistence, ops burden, fan-out, replay, portability, and cost — with symptom-based selection tables instead of benchmark wars.
Why OpenSpec's explore → propose → apply loop is a better default than built-in Plan Mode: lighter ceremony, durable repo-native plans, and guardrails that keep exploration agnostic until you choose to commit.
How Google Translate evolved from rules and statistical phrase models to neural MT and today’s Translation LLM — and how to build a translation app in 2026 with the right mix of NMT, multilingual models, and LLMs.
For engineers evaluating gpt-oss-120b: OpenAI's open-weight model is fast for an open reasoning checkpoint, but throughput depends heavily on the provider and benchmark view. Here is how to read Artificial Analysis, OpenRouter trends, and the cost tradeoffs behind fast inference.
A source-backed review of Nous Research's Hermes Agent — what it is, how its memory and retrieval layers work, why it is not a classic RAG app, and which architecture decisions are worth borrowing.
A practical guide to Hermes scheduled agent jobs — daily digests, silent monitors, delivery targets, token governance, and why proactive WhatsApp cron hits Meta's 24-hour window.
How to deploy Hermes as an internal support copilot for Chatwoot agents — draft-only assist, private notes, tool scoping, memory governance, and quality gates beyond a thin ChatGPT wrapper.
A practical guide to wiring Meta's WhatsApp Cloud API through Chatwoot into Hermes Agent with OpenAI — architecture, bridge service, handoff to humans, and common operational pitfalls.
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