The missing layer between request and pull request
Paddi is an AI PM agent that turns raw signals into code-aware specs and ships them.
Confident
Every decision backed by real code and real data.
Clear
Every conclusion traceable to its source.
Autonomous
The agent works. You review and decide.
End-to-end
From feedback to PR in one workflow.
Before your code agent builds, Paddi thinks.
Code agents made shipping fast. Deciding what to ship is still slow. Paddi closes that gap.
Diagnose
Feedback flows in. Paddi retrieves the context it needs: your codebase, usage analytics, past requests. Root-cause analysis backed by evidence, not assumptions.
Prioritize
You Decide
Spec
Ship
Paddi handles four steps. You own the one that matters.
Analysis that pulls its own context
Most tools analyze what you give them. Paddi finds what you missed.
Grounded in your codebase
Paddi reads your repository to understand what exists, what connects to what, and what breaks if you change it. Specs come with real impact scope and edge cases, not guesses.
Investigates before it concludes
Paddi connects to your analytics, error monitoring, and external data sources. When a request comes in, it pulls relevant signals to validate assumptions and surface what matters.
Decision to Delivery
You choose the path. Everything after that is handled.
Compare paths, weigh trade-offs
Paddi generates solution options with impact scope and estimated effort, all grounded in your codebase. You pick the direction.
Spec it together
Refine the spec side by side with Paddi in a live editor. Adjust scope, rethink edge cases, shape every detail. An AI collaborator that knows the codebase.
Ship it your way
Route the finished spec to a code agent for an automatic PR, or hand it off to your dev team.
Don't trust the AI. Trace it.
Every conclusion links back to the feedback it came from, the code it read, and the logic it followed.
Paddi's reasoning trace
Paddi identified a converging signal across three sources: team invite success rate has dropped to 61% over the past 3 weeks.
Invite send success rate 61%, declining for 3 consecutive weeks
"Invited my teammate but they said they never got it" · "Tried multiple times, kept failing"
"We want the whole team on board but the invite keeps breaking"
Paddi traced the failure to a silent timeout in the email send service. The invite route has a 3s timeout with no retry — any network hiccup causes a silent failure with no feedback to the user.
Scored against your active business goal: grow expansion revenue through team account growth. Invite failures directly block the team expansion path — 214 users hit this failure in the last 30 days.
8.9
9.7
2.4
Add retry logic (max 3 attempts) with silent fallback. Touches 1 file, ships today. Users still won't see send status — treats the symptom, not the cause.
Retry logic + UI error feedback — inviter sees clear failure message. Touches 2 files, estimated half a day. Meaningful UX improvement with low risk.
Retry logic + real-time status tracking + auto-notify inviter on failure + send log. Touches 4 files, estimated 2 days. Eliminates the problem entirely and creates an audit trail.
PM selected Option C. Paddi generated the full spec with edge case coverage — including expired invite links and duplicate email invites — and dispatched to Code Agent.
Built for the long run
Context that remembers
Your codebase, past requests, and business priorities live inside the same analysis loop. The tenth request knows what the first nine taught it.
Decisions that leave a trail
Every analysis and priority call links back to the reasoning behind it. When teammates change or someone asks "why did we build this," the answer is already there.
Always improving underneath
Paddi's analysis engine, prompt strategies, and integrations update continuously so yours don't have to. Your engineering hours belong to your product.
Built for builders who build
Teams already shipping with code agents
Your code agent ships a feature in an afternoon. But someone still spends half a day gathering context, writing the spec, and bridging the gap between what users need and what gets built.
Solo builders wearing every hat
You're the PM, the developer, and the one fielding customer calls. You dive deep into a problem, get pulled away, and come back to a blank slate. Every interruption costs you thirty minutes of re-thinking.
Teams rebuilding context every sprint
Feedback lives in meeting notes, Sentry fires alerts overnight, and there's a Google Doc someone started months ago. Every decision begins with rebuilding the full picture from scratch.
Connects to your stack
