Ship More Code. Burn Fewer Tokens.

Most of what your AI agent reads, it never uses. Lirah gives it exactly what it needs—so you get more iterations, fewer hallucinations, and stop hitting rate limits by noon.

Lirah

The Real Cost

Your Agent Is Eating Tokens for Breakfast—and You're Paying the Bill

Every file your agent reads but never uses is money you'll never get back. If any of these sound familiar, you're not alone.

01 Burning Tokens on Noise

Irrelevant files flooding context windows. Every wasted token is money down the drain on files your AI never touches.

02 Manual Context Curation

Copy-pasting file paths. Writing ad-hoc file lists. Spending more time setting up the agent than using it.

03 Context Guesswork

Never knowing what the agent actually saw. Hallucinations because it "kind of" saw a file in the noise.

04 Hitting Limits by Noon?

Context bloat burns through your Claude plan before lunch. Half the coding time, twice the cost. Sound familiar?

05 Signal vs Noise

Large files destroying context windows. Important intent buried in irrelevant scaffolding.

06 Fragile Context Management

Manual, error-prone context that breaks when you switch tasks. No systematic approach to intent.

Sound familiar? You're not bad at prompting—your tools are wasting your money.

Enhanced Project Compact

Your Entire Codebase.A Fraction of the Tokens.

One shortcut parses your entire project into a structural skeleton—function signatures, class hierarchies, module exports—so your agent sees your full architecture without burning your context window.

  • 70-90% compression—50K lines fit in ~5K tokens
  • Python + JS/TS support—enhanced parsing for multiple languages
  • useEffect hook detection—React-specific symbol extraction
  • No more cherry-picking—share everything automatically
  • Ctrl+Shift+P—full project context, one keystroke

Your agent navigates accurately, understands your dependency graph, avoids hallucinating function names, and plans changes with real awareness of ripple effects.

WITHOUTManual file selection
127,000 tokens
"Which files should I share?"
WITHProject Compact
~8,500 tokens(93% reduction)
fn createUser(email, password): User
fn validateToken(token): boolean
class AuthService { login, logout, refresh }
...342 more signatures
Preview token savings before confirming

AI-Assisted Automation

Let AI Handle theBoring Stuff.

Stop writing commit messages and changelogs manually. Lirah generates them from your actual changes—so you stay focused on coding, not paperwork.

  • Auto Commit—AI-generated commit messages with configurable templates
  • Ctrl+Enter—commit with one keystroke
  • Auto Changelog—automated generation from commit history, Keep a Changelog format

Result: Your git history stays clean and meaningful—without you typing a single commit message.

AI-Generated Commit
feat: add user authentication middleware
- Implement JWT validation
- Add refresh token rotation
- Update auth service tests
Auto-Generated Changelog
## [1.4.0] - 2026-02-19
### Added
- User authentication middleware
- Token refresh mechanism
### Fixed
- Session timeout edge case

Your Bottom Line

What Changes When You Stop Wasting Tokens

Cut Your Token Bill

Use up to 90% fewer tokens per session—stretch your plan for weeks, not days

Code Longer, Not Harder

Hit your rate limit at 6pm instead of noon. More iterations, more shipped features

Stop Debugging Hallucinations

When your agent sees only what matters, it stops guessing and starts getting it right

Get Back to Building

Stop babysitting context. Open Lirah, select files, and let your agent do its job

Context as First-Class

Explicit Intent,Not Implicit Noise

Tell your agent exactly how to use each file—which ones to edit, which to reference, and which to leave alone. No more guessing, no more bloat.

  • Visual file selection—intentional context, not accidental
  • Element Picker—select functions, components, classes, hooks instead of entire files
  • File Groups—save and restore frequently used file selections
  • Explicit file modes—modify/reference/example intent
  • Token discipline—smart slicing vs full-file dumps
Modify
Do not modify
Use as example

Result: Your agent knows exactly what you mean. No babysitting, no wasted tokens, just better results.

src/components/Button.tsx
MODIFY
src/config/constants.ts
LOCKED
src/utils/helpers.ts
EXAMPLE
Secondary TerminalCtrl+`
~/projectmain*

$ lazygit

# Git TUI opens in same directory

lazygit
nvim

Secondary Terminal

Side-by-Side Terminal.Same Directory. Zero Friction.

Open a secondary terminal without leaving your workflow. It launches in the same working directory with quick access to your favorite tools.

  • Side-by-side view—Ctrl+` toggles secondary terminal
  • Quick launch lazygit—visual git interface in one click
  • Launch nvim instantly—edit files without switching apps
  • Same working directory—no cd needed, context preserved

Your terminal, your tools—right where you need them.

Prompt Editor

Refactor the Button component to:

1. Use the new design tokens

2. Add loading state support

3. Follow the pattern in helpers.ts

Keep the existing API compatible.

refactor-templatereact-component

Prompt Reuse

Write Once.Reuse Forever.

You write the same prompts every day. Save them once, reuse them forever. A proper editor that sends straight to your agent—so you stay in flow instead of copy-pasting from notes.

  • Multi-line editor—compose complex prompts properly
  • Reusable templates—ship faster with consistent patterns
  • Direct to agent—send prompts straight to your CLI agent

Write it once. Use it every day. Ship faster.

Agentic Dev Workflows

One Workflow. Every Session.

Pick a workflow, select your files, and go. Pre-built templates for the tasks you actually do every day—so you spend less time setting up and more time shipping.

Feature

New feature development

Bugfix

Debug and fix issues

Refactor

Code restructuring

Performance

Speed optimizations

Review

Code review assistance

Pull Request

PR preparation

Documentation

Docs generation

React

React-specific variants

Orchestration

Enforce custom instructions on every agent prompt

Download Lirah

Free and open source. Available on Linux and Windows (beta)—start saving tokens in minutes.

What Developers Say

Built for LLM Power Users

“I built the entire Lirah app using Lirah itself—on a $20/month LLM plan. No rate limit issues, no wasted tokens. It's my daily driver now.”

Lirah's Creator

Built by a developer who got tired of wasting tokens. If you use CLI agents daily, you'll feel the difference immediately.

Ready to Get More Out of Every Token?

Developers using Lirah ship more features with the same AI plan. Free, open source, and built for the terminal.

Built with

Tauri 2React 19xterm.jsTypeScriptSandboxing

Optional sandboxing with filesystem and process isolation