Speed matters. Not speed in sprint or linear dashboards. Not speed in story points. - Source: dev.to / 2 months ago

Model Context Protocol, for context, is the emerging standard for letting AI agents pull live data from external systems without custom integration code. Freshworks has implemented it as a native layer in Freddy AI, which means agents can now reach into Notion, ClickUp, Linear, Workday, Rippling, and the rest of the enterprise stack — not through brittle webhooks or bespoke connectors, but through a standardized... - Source: dev.to / 3 months ago

Issue trackers: GitHub Issues, Linear, or Jira work well because technical debt records live in the same tool as feature work. This makes them easier to pull into sprint planning and keeps the debt backlog visible alongside the feature backlog. The main risk is that debt issues get buried under feature issues without careful labeling and triage discipline. - Source: dev.to / 3 months ago

Linear and similar tools can track velocity metrics per area of the codebase over time, making the before/after comparison straightforward to document. - Source: dev.to / 3 months ago

Most engineers fail salary negotiations because they use vague statements like "I work hard" or "I’m a good teammate" instead of quantified, verifiable impact. After 15 years of negotiating offers, I’ve found that engineers who tie their ask to concrete business outcomes land 30% higher offers than those who don’t. For example, instead of saying "I improved the API", say "I reduced API p99 latency by 400ms, which... - Source: dev.to / 3 months ago

We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 3 months ago

In this tutorial, we build exactly that kind of AI teammate. Instead of piecing together complex infrastructure (audio pipelines, transcription, NLP, TTS, avatars), we'll use Vision Agents to tie everything together, using Stream's WebRTC APIs, and give the AI both a voice and a human-like video presence using ElevenLabs voice and Anam avatars. The system we’ll create can listen, query Postgres, and respond during... - Source: dev.to / 3 months ago

Hey HN, we're Ben and Caoimhe, cofounders of Anam. We built a service for interactive avatars and just shipped our latest model, cara-3. Try it at [anam.ai](http://anam.ai/), no sign-up required, or build with it at [lab.anam.ai](http://lab.anam.ai/) or [anam.ai/cookbook](http://anam.ai/cookbook). Some context on why we're working on this: faces carry emotional signal that text and voice don't. Almost half the... - Source: Hacker News / 6 months ago