← All news
Product

See your savings before you commit

Our savings calculator estimates what Lineman would save on your real workload.

The Lineman team

It's a fair question to ask before installing anything: what would this actually save me? Lineman answers it up front. The savings calculator on the homepage estimates what Lineman would trim from your real workload, based on the way you actually work, so you can see the number before committing to a trial or a plan.

No account, no install, no card. You answer a few questions and get an estimate grounded in measured compression on data-heavy tool calls.

Estimate against your real workload

The calculator doesn't hand you a generic headline figure. It asks about the shape of your usage and works from there:

  • What you're paying today. Pick your model or subscription plan, from Claude and the major API providers to Pro, Max, Team, and Cursor tiers.
  • How many developers are coding with AI assistance.
  • What kind of work you do. Reading and understanding source files, running builds and tests, searching and navigating code, git operations and review, debugging with logs and stack traces, fetching docs, and large multi-file refactors.

From those inputs it produces a savings-percentage range and a net dollar estimate. Net, because it subtracts the cost of a Lineman plan from what you'd save. The more of your time goes into data-heavy work, the more there is to trim, and the estimate reflects that.

Why it's an honest number

The percentages behind the calculator come from real measurement, not marketing. Reading source files compresses more on larger files than smaller ones, and build, search, and diff output each have their own measured profile. Across data-heavy work, Lineman saves 40%+ tokens, and the calculator maps that onto the specific mix of work you described rather than assuming everyone's usage looks the same.

If you want to go deeper than the estimate, the benchmarks page lays out the method and the measured results in full.

See it, then decide

Leading with the calculator is deliberate. You shouldn't have to take the savings on faith, so try it on your own numbers first.

When the estimate makes the case, the pricing page has the details: Basic at $49/mo per seat for 100M tokens, Pro at $149/mo per seat for 440M tokens, and Enterprise for custom needs. Plans are billed per seat, and the token allowance is pooled across the team. There's a 14-day free trial with no card required, so you can sign up and confirm the savings on your real sessions.

Related

Product

How to Reduce AI Coding Spend With Log Compression in 7 Steps (2026)

Build logs and file reads account for over half of most AI coding bills. The tokens aren't reasoning about your code—they're re-reading the same data, turn after turn. AI infrastructure cost optimization starts by cutting the bytes your model never needed to see in the first place.

Product

How to Summarize Large Codebases for AI Agents in 7 Steps (2026)

Quick Guide: How to Summarize Large Codebases for AI Agents in 7 Easy Steps Parse Code with Abstract Syntax Trees: Extract meaningful structure from source files using AST parsers that preserve semantic boundaries. Chunk Code at Symbol Boundaries: Split files at function, class, and module boundaries instead of arbitrary line counts. Generate Semantic Embeddings: Convert code chunks into vector representations that capture meaning, not just syntax. Build a Vector Index for Retrieval: Store embeddings in a vector database for fast similarity search across your codebase. Implement Selective Context Retrieval: Query only the relevant code chunks based on the agent's current task. Compress Tool Output Before Context Injection: Use Lineman to automatically compress file reads and logs before they reach your AI agent's context window. Cache and Deduplicate Repeated Reads: Track what the agent has already seen to avoid re-injecting identical content. How to Help AI Agents Understand Large Repositories Without Full-Context Dumps 1. Parse Code with Abstract Syntax Trees The first step is treating code as structure, not text. AST parsers read your source files and produce a tree that represents the actual program logic: functions, classes, imports, and their relationships.

Product

9 Claude Instruction Audits for Leaner DevOps

System instructions in Claude coding agents carry a hidden cost. Every token in your CLAUDE.md file is re-sent on every single turn, whether you need it or not. For DevOps teams running automated pipelines, test triaging, and infrastructure tasks, that overhead compounds across hundreds of daily sessions.