Understand the code. Grow with confidence.
Sprout turns tangled projects into visual maps and explains every line in language that actually makes sense.
Token waste isn't a quirk.
It's a budget line.
Claude Code default mode uses 108–117k tokens per retrieval task. A structural approach: 8.5–13k. Same result.
Augment Code / Medium analysis50,000 wasted tokens × 500 runs/day × $15 per 1M tokens = $11,250/month of pure repetition cost per team.
Based on GPT-4-class pricingInput tokens re-sent on every turn account for nearly all measured agent cost. The reasoning is cheap. The repetition isn't.
Augment Code cost analysis$ fetching full repo tree… 38,412 tokens
$ building message history… 21,048 tokens
$ routing: "what should I do next?"… 3,500 tokens
$ review pass (full context)… 3,500 tokens
▶ 66,460 tokens used — $0.99 this turn
$ compact map snapshot… 800 tokens
$ deterministic planner… 0 tokens
$ code generation… 4,096 tokens
$ review gate (2 files, 64-tok reply)… 300 tokens
▶ 5,196 tokens used — $0.08 this turn
These aren't edge cases. They're the companies with the biggest AI budgets, hitting the same wall.
Annual AI budget gone in 4 months.
Uber gave ~5,000 engineers unlimited access to Claude Code in December 2025. By April 2026 the entire annual AI coding budget was exhausted. A single two-hour session cost one executive $1,200. The company responded by capping every engineer at $1,500/month per tool. Uber CTO Praveen Neppalli Naga publicly declared the era of "tokenmaxxing" over.
Forbes / Fortune / TechCrunch, 2026Cancelled Claude Code for thousands of engineers.
Microsoft rolled out Claude Code broadly across its Experiences & Devices division — the team behind Windows, Microsoft 365, Teams, and Surface. Token costs hit $2,000 per engineer per month. By June 2026, Microsoft cancelled most of those licenses and redirected engineers to GitHub Copilot CLI. The tools weren't the problem. The problem was the tools working too well with no context efficiency.
The Verge / Fortune / TheStreet, 2026Drop in general SWE job postings since 2022
Indeed Hiring LabOf May 2026 US tech layoffs cited AI as the reason
Challenger, Gray & ChristmasOf agent tokens wasted re-reading already-seen code
Augment Code analysisJump in ML / AI engineer openings over the same period
Indeed Hiring LabThe engineers who survive make AI work for them.
Amazon cut over 30,000 corporate jobs between October 2025 and January 2026. Weeks later, recruiters inside its AI agent org — under AWS VP Swami Sivasubramanian — were emailing those same former employees through what they called the "Boomerang Reengagement Initiative", specifically looking for AI and machine learning experience.
That's not a contradiction. That's the shape of the new market: general software engineering postings are down 49%, while ML and AI engineer roles are up 59% over the same window. The floor has dropped for developers who work beside AI. The ceiling has risen for those who know how to wield it.
Token cost is now a real budget line — not a theoretical one. Uber burned through its entire 2026 AI coding budget in four months. Microsoft cancelled Claude Code licenses for thousands of engineers after costs hit $2,000 per person per month. These aren't startups miscalculating. These are companies with the biggest AI budgets in the world, hitting the same wall: agents that re-read code they've already seen, on every single turn.
Studies show coding agents burning 10–13× more tokens than necessary because they have no persistent context. They start from scratch every time. Sprout was built to fix that — map the codebase once, reference the compact snapshot on every run, and never re-read what you already know.
"Your agent just burned roughly 118,000 tokens. Not on reasoning. Not on generating code. On reading the raw output of commands that could have been expressed in a fraction of the space."— Augment Code cost analysis, 2026
Six steps. One coherent pipeline.
Load any GitHub repo
Paste an owner/repo. Sprout fetches the full recursive tree via the GitHub API — no clone, no local setup. Works with public and private repos using your GitHub OAuth token.
Stop feeding your AI
the same code twice.
Studies show most coding agents re-read what they've already seen, burning 10–13× more tokens than necessary. Here's how Sprout compares, operation by operation.
Drag to set your team's daily orchestrator runs. Pricing based on GPT-4-class ($15 / 1M tokens).