I was tired of all false claims, so I built Atelier, honest 30% saving on CC.

Atelier, a 30-second install tool that sits underneath Claude Code to reduce token waste, claims 30% savings on AI coding costs by providing better search, shorter file reads, compact command output, and reusable memory. The tool offers a live savings meter and allows users to verify savings by scanning their own local agent history, with benchmark results showing cost reductions of 12.9% to 67% across various tasks.

Atelier is a 30-second install that helps Claude Code waste fewer tokens while you work. Keep using Claude Code normally; Atelier sits underneath it and gives the agent better search, shorter file reads, compact command output, reusable memory, and a live savings meter. Live savings across Atelier sessions Install install-in-30-seconds · Check your savings first check-your-own-savings · Why trust the numbers? why-trust-the-numbers · Results results · Pricing pricing Run this once: curl -fsSL https://install.atelier.ws | bash Then turn it on inside the project where you use Claude Code: cd your-project atelier init Open Claude Code like you normally do. Atelier wires in better tools behind the scenes and starts tracking savings as sessions finish. Already installed? atelier update Check that everything is connected: atelier doctor Atelier does not ask you to learn a new coding app. It improves the work Claude Code already does: | Before | With Atelier | |---|---| | Claude reads broad files and long terminal output. | Claude gets the exact code ranges and compact results it needs. | | The same context gets rediscovered again and again. | Useful session context can be reused. | | You pay for long explanations inside the working transcript. | Outputs stay shorter while code, commands, filenames, and errors remain exact. | | Savings are hard to see. | A local meter shows tokens, cost, and savings adding up. | The point is simple: more of your Claude subscription should go into useful work, not repeated setup and paid noise. Do not take our 30% claim on faith. Before installing, you can scan your own local agent history: curl -fsSL https://savings.atelier.ws | bash What it does: - Reads local Claude/Codex agent session files. - Estimates where Atelier would have used fewer tokens or cheaper tool calls. - Prints savings from your own history. - Uses a temporary local store. - Needs no Atelier account and no provider API keys. Useful variants: curl -fsSL https://savings.atelier.ws | bash -s -- --since 30d --top 10 curl -fsSL https://savings.atelier.ws | bash -s -- --host codex --limit 20 You are right to be skeptical. A live badge alone proves very little because anyone can fake a counter. Atelier uses four checks instead: Raw benchmark receipts: headline numbers link to committed per-task runs, costs, turn counts, setup notes, and reproduction commands. Your own scan: the savings command checks your machine, not our marketing page. Labeled live badges: live counters show aggregate usage adding up; they are not used as the source of the 30% benchmark claim. Rows where Atelier does not win: Terminal-Bench 2.1 is flat on accuracy -0.2pp and only cheaper on cost. It stays in the results table. The trust is the audit trail, not the animation. Measured on the same model, same tasks, and same environment: | Benchmark | Baseline correct | Atelier correct | Correct delta | Baseline cost | Atelier cost | Cost delta | |---|---|---|---|---|---|---| | SWE-bench Verified, 50 tasks x 5 reps | 80.8% | 92.8% | +12.0 pp | $234.84 | $165.45 | 29.5% cheaper | | SWE-bench Lite, 10 tasks x 3 reps | 93.3% | 100% | +6.7 pp | $12.38 | $10.79 | 12.9% cheaper | | SWE-bench Pro, 10 tasks x 5 reps | 88.0% | 90.0% | +2.0 pp | $39.01 | $30.61 | 21.5% cheaper | | Exploration tasks across 7 large repos x 5 reps | - | - | - | $19.11 | $6.29 | 67% cheaper | | Telegraphic Q&A, 20 prompts x 5 reps | - | - | - | $8.93 | $5.34 | 40.2% cheaper | | Terminal-Bench 2.1, 89 tasks vs public leaderboard | 78.9% expected | 78.7% | -0.2 pp | $96.76 | $69.52† | 28.1% cheaper† | Atelier: 1 rep/task. Baseline: public tbench.ai leaderboard, 5-rep average per task. † Other 5 tasks in Atelier timeout and cannot capture cost; see . SWE-bench Verified detail: | Metric | Baseline | Atelier | Delta | |---|---|---|---| | Turns | 6,962 | 4,336 | 37.7% fewer | | Output tokens | 3.04M | 2.19M | 27.9% fewer | | Wall-clock | 14.3h | 10.9h | 23.7% faster | Raw runs, setup notes, and reproduction commands live in BENCHMARKS.md /atelier-ws/atelier/blob/main/BENCHMARKS.md and benchmarks/codebench/results/ /atelier-ws/atelier/blob/main/benchmarks/codebench/results . Retrieval quality MRR across ~7,200 query/gold pairs on 14 repos -- ripgrep, ast-grep, universal-ctags, Serena, CodeGraph, cocoindex-code, codebase-memory-mcp, fff-mcp, code-index-mcp, and jCodeMunch all scored on the identical corpus: | Provider | MRR | rec@1 | p95 | |---|---|---|---| Atelier +semantic BGE | 0.727 | 0.650 | 390ms | | Atelier lexical default | 0.676 | 0.582 | 134ms | | cocoindex-code best rival | 0.557 | 0.457 | 595ms | | serena | 0.401 | 0.359 | 3834ms | | ripgrep | 0.376 | 0.320 | 66ms | | universal-ctags worst rival | 0.237 | 0.226 | 1ms | No one had scored these 10 tools against each other on a shared query set before -- each publishes its own number, on its own terms, against its own baseline. Full 13-row table and per-tool "claim vs. scored" breakdown: atelier.ws/vs https://atelier.ws/vs · docs.atelier.ws/benchmarks/results https://docs.atelier.ws/benchmarks/results . Also worth a look, two comparisons outside code search: rtk https://atelier.ws/vs/rtk , a 69.6k-star Rust CLI proxy -- self-estimated savings vs. Atelier's accuracy-checked Terminal-Bench number. "Just tell Claude to be terse" https://atelier.ws/vs/caveman , the free DIY alternative -- benchmarked head-to-head on the same 20 prompts, including the one where it backfires. Claude is strong, but the work around Claude is often wasteful. Atelier reduces that waste. Better inputs: the agent gets relevant symbols and exact file ranges instead of whole files. Better outputs: command output and replies stay compact without losing exact technical facts. Better memory: useful context can be reused instead of rediscovered. Better guardrails: tools and hooks reduce risky edits, oversized reads, and unverified "done" states. Atelier does not make Claude a different model. It makes the loop around Claude cleaner, which is why the same model solved more tasks in the benchmark. - Works with Claude Code, Codex, Copilot, Cursor, opencode, Hermes Agent, LangChain, the OpenAI SDK, Gemini ADK, and any other MCP-compatible coding agent. - Runs locally by default. - Apache-2.0 open source runtime. - No account needed to start. - Live local stats for cost, tokens, and savings. - Optional paid features for heavy users and teams. Installation /atelier-ws/atelier/blob/main/docs/installation.md Troubleshooting /atelier-ws/atelier/blob/main/docs/troubleshooting.md Benchmarks /atelier-ws/atelier/blob/main/BENCHMARKS.md · full results, backed by docs /atelier-ws/atelier/blob/main/docs/benchmarks/results.md · every "vs" comparison, with sources https://atelier.ws/vs CLI reference /atelier-ws/atelier/blob/main/docs/cli.md Architecture /atelier-ws/atelier/blob/main/docs/architecture.md Apache 2.0 — see LICENSE /atelier-ws/atelier/blob/main/LICENSE .