Unified context, one bill
Your whole team shares a single, intelligent context layer, so you pay for codebase knowledge once, not once per engineer per request.
Cut your AI coding costs by up to 90% and stop architecture drift.
Arclask shares one smart context across your whole team so every AI request sends less, costs less, and stays aligned with your standards. Automatically.
✓ No commitment✓ Takes about a minute
01 / WHY IT MATTERS
Every other harness sends the same context hundreds of times. You pay for every one.
Today, every engineer on your team independently sends overlapping codebase context to the AI model: the same architecture rules, the same conventions, the same module maps. You're billed for all of it. Arclask eliminates that redundancy and keeps your codebase from quietly drifting off course.
Only the code that matters
Instead of the AI exploring your codebase file-by-file and burning tokens each step, Arclask finds the relevant snippets locally and sends just those. Smaller requests, fewer round trips, lower cost.
Architecture that holds
Every AI-generated change passes through a hard policy gate. Your real architecture rules, enforced automatically, before anything lands. Drift stops being invisible.
02 / HOW IT WORKS
Your engineer prompts. Arclask optimizes, guards, and delivers at a fraction of the cost.
Every request is automatically enriched with the right project context, trimmed to only the relevant code, and checked against your architecture rules, before it reaches the AI model and before any tokens are spent on unnecessary content.
One familiar workflow, dramatically less cost
An engineer asks“Update the checkout flow”
Use the AI assistant they already work with.
Arclask optimizesSmart context + architecture gate
Relevant snippets only. Architecture rules enforced. Redundant tokens eliminated.
The team getsBetter output, fraction of the cost
Consistent, standards-aligned code, without the token waste.
03 / GET STARTED
No migration. No rip-and-replace. Works with your existing tools.
Arclask sits alongside the AI assistant your team already uses: Claude, GPT, or anything else. Bring your own API key. Nothing changes about your editor, your workflow, or your billing relationship with your model provider.
Connect your codebase
We scan your repo, map your architecture, and propose a policy ruleset, in suggestion-only mode so nothing blocks real work while your team reviews.
Engineers keep working
A single CLI tool or VS Code extension per engineer. Context optimization and architecture checks happen automatically. No behavior change required.
Costs drop. Drift stops.
Your team immediately benefits from shared context caching, smarter retrieval, and enforced architecture rules. Measurable from day one.
04 / FIT CHECK
Built for teams where AI spend is real and architecture matters.
A strong fit if you’reScaling AI-assisted
Scaling AI-assisted
development.
- AI token costs growing with every hire
- Architecture rules being silently ignored by AI output
- Multiple engineers sending redundant context daily
- Leading an engineering or product organization
Maybe later if you’reStill only
Still only
experimenting.
- Working mostly as a solo developer
- Not yet using AI tools in your regular workflow
- Looking for a generic coding assistant
- Not yet managing a shared engineering system
Stop paying more for AI that drifts further.
Take a minute to preboard. See how much your team could save, and how much cleaner your architecture could stay.
Preboard your team