The research, planning, and orchestration layerbetween your apps and your coding agents.
Bright plans the work, runs it with your coding agents, and keeps every step on track - from first issue to shipped product.
Work
Generate a plan for anything you ship.
Press ⌘P on any issue. Bright reads the description, comments, parent, and linked resources, recalls past work from memory, and drafts a structured plan with sub-issues. ⌘B builds the issue once you approve.
Work
AI Workflow Generation
Docs
Docs that read themselves to you.
Drop in a launch plan, RFC, or research note. The AI sidebar reads the doc, recalls related context, and answers questions inline. No copy-paste, no re-explaining yourself.
Docs
Q3 2026 Launch Plan: FlowMind
Launch Goals
- 500 signups in first week
- 100 active workflows by month 1
- ProductHunt #1 Product of the Day
Pre-Launch (July)
Closed beta, onboarding fixes, demo video, docs, and launch partner outreach.
Chat
Memory across every conversation.
Bright remembers past chats, issues, and docs. It shows the decisions and source context behind every answer so you know what the agent is working from.
Context Bright used
3 memories surfacedProductHunt launch goals from Q3 planning doc.
Past Linear auth integration lessons.
Slack thread with beta feedback and blockers.
Apps
One context layer over your stack.
Connect Google, Linear, Notion, and Slack. Bright reads from all of them and writes back where it matters: issues into Linear, notes into Notion, replies into Slack.
Apps
App Integrations
Sync and search emails from Bright.
Linear
Act on issues and roadmaps.
Notion
Search and manage product docs.
Slack
Search messages and channels.
Harness
Cutting-edge product staff, not a chatbot.
Bright ships as a harness, not a model in a box. Skills for research and planning, templates for issues, RFCs, and launch plans, references for engineering style, and reusable assets all live in the system. The agent draws on them the way a senior PM or engineer draws on years of pattern matching - so you get state-of-the-art product staff on day one.
Template
Engineering RFC: Drizzle vs Prisma
Context
Schema rewrite for v2. Need a type-safe ORM that fits our edge runtime and stays maintainable as the team grows.
Options
Drizzle (SQL-first, lightweight, edge-friendly). Prisma (mature ecosystem, generated client, slower cold starts).
Decision
Adopt Drizzle for the v2 schema. Migrate Prisma models behind a feature flag during the next sprint.
Risks and migration
Team ramp-up on raw SQL patterns. Mitigate with a shared query helpers module and pair-review on the first 3 PRs.
Handoff
Research, then a brief your coding agents can ship.
Hand Bright a question or a vague idea. It pulls from your docs, past projects, and the web; surfaces options and trade-offs; and produces an issue your coding agents - Cursor, Claude Code, Codex - can execute without round-trips. No more 'what does this mean?' tickets.
Research brief
Should we adopt Drizzle for the v2 schema?
Context
We are rewriting the schema for v2. Picking the ORM now sets the shape of every query and migration we ship for the next year.
Options
Drizzle
SQL-first, edge-friendly, type-inferred from schema.
Prisma
Mature ecosystem, generated client, slower cold starts.
Trade-offs
- Drizzle adds ~12kb runtime; Prisma adds ~1.2mb cold start.
- Prisma generates types; Drizzle infers them from schema directly.
- Drizzle leans on raw SQL fluency; Prisma hides it behind an API.
Recommendation
Adopt Drizzle for v2. Migrate Prisma models behind a feature flag next sprint.
Sources
Simple pricing.
Starter is free. Launch adds higher limits and more integrated workflows.
Starter
Ideal for individuals getting started. No credit card required.
- Agent tasks on your work
- Core workflows in Bright
- Self-serve onboarding
Launch
For users who need higher limits and more integrated workflows.
- Everything in Starter
- Higher usage limits
- More integrated workflows
Try Brightstack now.
Free to start. No credit card required.