An AI assistant engineers don't have to babysit
An AI assistant for engineers has one job the coding tools don't do: recover the reasoning around the code. Engineers lose their deep-work hours to archaeology, hunting the decision behind a PR across Slack, tickets, docs, and old calls. Littlebird pays attention to the active window while you work and transcribes meetings with no bot, so the design discussion, the review thread, and the standup where scope changed are already collected when you need them back. It is a complement to Claude and ChatGPT, not a replacement for them.
Where do an engineer's hours actually go?
The PR is open and the diff makes no sense without the decision behind it. The decision lives in a thread, the thread references a call, and the call happened three weeks ago. Twenty minutes of digging later you have the context you personally sat through the first time. The work was never hard. Recovering the reasoning around it is what eats the afternoon.
Littlebird already watched that reasoning happen. Because it reads the text of your active window and transcribes your meetings, the design discussion, the review thread, and the standup where scope changed are all in one queryable memory.
What should an AI assistant for engineers do?
Five things, and most tools do at most two of them.
- Recover the "why." Answer "why did we pick this approach" from the call where it was argued and the doc where it landed, not from a search box.
- Draft the standup from real work. Yesterday's commits, reviews, and threads are the input. You edit; you don't reconstruct.
- Stay out of the participant list. Transcribe standup, planning, and reviews without a bot joining, because a "Notetaker" in a design review changes the design review.
- Answer in place. A question about the ticket you are looking at should not mean leaving the ticket.
- Pass a security review. State where data is stored, what it never captures, and how to exclude apps and delete everything, in plain language, before anyone asks.
What does that look like day to day?
Ask Chat why a decision was made and the answer comes from your own history: the call where it was argued, the doc where it landed. Ask it to draft your standup from what you actually did yesterday. Hover opens over whatever you are working in (double-tap Option on Mac; Windows is in beta), so a question does not mean losing your place. Meeting Notes covers the calls without a bot appearing in anyone's participant list, and it works for any audio playing on your computer, so a recorded architecture review gets captured too. Connect Notion or Todoist if you want it to read the spec or add the follow-up; the capture works without any of that.
Is it safe to run on a work machine?
Engineers are the audience that checks, so here it is without spin. The app runs on your computer; the memory it builds is encrypted and stored in the AWS cloud (US East). AES-256 at rest and in transit, TLS 1.3 on every connection, SOC 2 certified, and infrastructure regularly audited and tested by third-party security firms. It never trains models on your data and never sells it. No bot joins your meetings. It is not a screen recorder and not a keylogger: no video, no screenshots, no keystroke log. Password managers are auto-excluded by default, it is designed to ignore password fields, and credit-card numbers and API keys are auto-redacted before storage.
You control capture: pause context collection, exclude specific apps (your terminal with production credentials, your bank), delete your data at any time, all of it or just the last hour or day. And the line we will not blur: this is not a local-first product on individual plans. If your threat model requires local-only, use a genuinely local tool, or the self-hosted Enterprise deployment. Details in the privacy article and at trust.littlebird.ai.
Should engineers keep using ChatGPT and Claude?
Yes. Claude is powerful when you give it the right context, and for research, complex reasoning, coding, and math it is the right tool. The difference is who does the giving: general assistants have no context about your work until you paste it in. Littlebird builds that context automatically from your screen and meetings, so the two are complements, not substitutes. We do not claim Littlebird beats either at reasoning, because it does not need to for this job. The job is remembering what you and your team already worked out.
Common questions
What exactly does Littlebird read on my screen?
It reads the text and elements of your active window via macOS accessibility permissions. No video, no screenshots, no keystrokes. You decide if it runs at startup, and you can pause collection, exclude apps, and delete your data at any time.
Does a bot land in standup or reviews?
No. It listens along on your computer to transcribe and summarize, and no bot joins the call.
Can it read my code or my terminal?
It reads the text of whatever window is active, so yes if that window is active, and no if you exclude the app. Excluding a terminal or an editor takes one setting.
What platforms does it run on?
Mac and Windows, plus iOS and Android companion apps. The core product is desktop. Hover is on Mac, with Windows in beta.
Trace the decision, draft the standup, keep your afternoon.
No setup, no bot in your meetings, and a free Basic plan with full context from day one.
Product facts come from our maintained internal fact base.
