An hour of audio transcribed in 21 seconds. On a MacBook Air. Completely offline.
That's what the 164MB Phonon-2 claims. We compare it to Whisper, Redux, and NVIDIA Parakeet. There's a catch.
Effect 4.0 rewrites the runtime, shrinks bundles, speeds up tasks, and makes failures part of the type system.
I tested retries, timeouts, typed errors, and what actually changed.
Docker Agent lets you build AI agents in YAML with no framework code.
We used it to debug an outage with two agents, and then had GPT-6 Luna and Claude Haiku 5.5 battle it out at Battleship.
🍏 Our mobile apps are now fully native on iOS and Android.
→ Critical alerts that cut through Do Not Disturb
→ Looping alerts that ring until you pick up
→ Live Activities with the escalation countdown on your Lock Screen
→ AI SRE chats that stream in real time
Already have the app? Just update it from the App Store or Google Play.
Too much Python boilerplate to get an agent running?
@BetterStackHQ covered how to use Docker Agent to simplify it: one YAML file, one command, agents talking to each other with nothing more than a URL. Real debugging demo and a battleship match to finish.
Watch here: bit.ly/4s3LUiV
“Which errors are new since yesterday’s deploy?”
Your agent can answer that now. The Better Stack MCP server connects Claude Code, Cursor, or Codex to your errors, logs, and metrics, so it writes the query, runs it, and sends the chart back in the chat.
Ask which pages are throwing 500s. Or just ask for a dashboard. It builds it in Better Stack and hands you the link.
One line to install, OAuth in the browser: betterstack.com/docs/getting…
It never acts without approval. Escalating to on-call, opening a pull request for a new exception, creating the Linear ticket, and publishing the postmortem.
It suggests, you drive.
It investigates outside Better Stack, too. GitHub, GitLab, Sentry, Grafana, Datadog, Linear, and Notion.
If the cause was a commit, it can find the commit.
Different incidents need different investigations.
Set up multiple AI SRE integrations, give each one its own prompt, and trigger them from your escalation policies.
Database alert, database investigation. Checkout alert, checkout investigation.
It checks what's failing and what changed around the start time, works through your logs, traces, metrics, errors, and recent releases, then posts a summary to the incident timeline and into Slack.
Turn it on for all incidents, and it runs every time.
Paged at 3am with nothing but an alert name? Not anymore.
Our AI SRE now investigates the moment an incident is created, not when you open your laptop. By the time you're awake, the root cause analysis is waiting.
Recently, we released an open-source embedding generation tool, Supernova, with a 10B dataset (Qdrant-FineWeb-10B) for free on @huggingface. These resources are excellent for evaluating, testing, and configuring your vector search infra.
ICYMI - @BetterStackHQ just posted a high-quality video explainer for these resources: piped.video/watch?si=HA1qmbr…
So cool! @BetterStackHQ did an awesome explainer video about OJ by @raphamorims
OJ is a Rust rewrite of the Vite dev server that we're using at Lovable to massively improve performance and memory usage.