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Product Workflow

Turn product intent into shipped features in
hours, not sprints

Code Lexica is the turnkey AI product workflow for modern teams.
Mention @CodeLexica in Jira, Linear, Asana, or wherever you do product work to turn ideas into multi-ticket epics and tickets into AI-ready specs with full context on your actual codebase.

  • Turn ideas into multi-ticket epics in minutes
  • Auto-generate context-hot, AI-ready specs
  • Plug into wherever your product management work already happens

10 minutes to set up. No code changes required.

See it in action

Demo: Our Workflow In 5 Minutes

Watch us use the Plan and Spec commands to turn a product feature idea into AI-executable plans and specs in minutes.

The Bottleneck

Writing code is no longer your bottleneck. Specifying it is.

Devs ship features faster than PMs can spec what to build next. The mechanical translation layer between intent and execution is now the slowest part of your product cycle.

PMs spend days on translation work

Hours of meetings, scoping, and PRD writing for every feature. Free up your PMs to do their highest-leverage work.

Generic AI tools produce dangerous specs

Without your codebase context, chatbot-generated tickets look right but quietly miss data models, feature flags, and in-flight work.

Engineers waste cycles re-discovering context

Senior engineers burn half-days spelunking flows before they can write specs your devs (or coding agents) can actually act on.

Read our full thesis on modern Product Management.

How it works

Two commands. One sprint-ready workflow.

Mention @CodeLexica in any ticket or task. We do the rest.

1

@CodeLexica Plan

Mention us in any ticket with a feature idea. We turn it into a multi-ticket epic with sub-tasks, scope, and dependencies, all aligned to your actual code.

2

@CodeLexica Spec

Mention us on any ticket and we generate an AI-ready spec with acceptance criteria, impacted modules, testing plan, and prompt pack for coding agents.

3

Inline Product Research

Ask @CodeLexica to research, investigate, or lend context on your product right in the comments, to reduce back-and-forth and time-to-execution.

Step 1: @CodeLexica Plan
@CodeLexica Plan generating a multi-ticket epic from a feature idea

@CodeLexica Plan. @CodeLexica Plan generating a multi-ticket epic from a feature idea

Step 2: @CodeLexica Spec
@CodeLexica Spec generating a context-rich spec on a ticket

@CodeLexica Spec. @CodeLexica Spec generating a context-rich spec on a ticket

Step 3: Inline Product Research
Inline product research answered by @CodeLexica in a ticket comment

Inline Product Research. Inline product research answered by @CodeLexica in a ticket comment

Capabilities

Everything you need to ship with confidence

We automate the mechanical translation layer between intent and execution, so you can hand the spec to Claude Code, Cursor, or your devs and get better-aligned results.

Inline @CodeLexica commands

Plan and Spec commands available wherever your team already works. No new tool to learn.

Multi-ticket epic generation

Break down ambiguous features into well-scoped sub-tasks with attached specs for every impacted repo.

Codebase-grounded context

Specs reference current data models, feature flags, conventions, and in-flight work. Not stale assumptions.

AI-ready prompt packs

Every spec ships with constraints and examples so Claude Code, Cursor, and Copilot produce code that fits your system.

Guardrails and governance

Inject living documentation and standards into every AI call so your coding agents stay on the rails.

Inline product research

Ask questions and run product research directly via comments. No context switching required.

Outcomes

What you actually get

Tangible velocity gains across product, engineering, and AI tooling.

10x
Faster feature throughput

Move from idea to staged feature in hours, not sprints, by collapsing the intent-to-execution loop.

Hours saved
Per feature

PMs and engineers reclaim dozens of hours of planning, scoping, and PRD writing across every cycle.

Better code
From AI agents

Better-aligned specs mean Claude Code and Cursor go off the rails less often, with less reviewer cleanup.

FAQ

Common questions

Stop specifying. Start shipping.

Connect your code and project management tools in 10 minutes, and start collapsing your intent-to-execution loop today.