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I will muse code claude code finops backend security llm gateway token optimization
Krispel
About this gig
Stop runaway Claude Code token bills before they bankrupt your startup infrastructure.
Did an engineer just run unchecked recursive loops, leaving you with a devastating API bill shock? Are your development workflows introducing unverified "slop code" or architectural flaws into your repository?
I am an AI Systems & Cloud FinOps Engineer. I help startups "Shift Left" by embedding financial boundaries, security parameters, and automated code review guardrails directly into their pipelines.
What I Will Do For You:
- Deploy Secure AI Cost Middleware & LLM Gateway: Routing pipelines through proxies (LiteLLM, Portkey) to enforce hard budget caps and token restrictions.
- Claude Code Token Optimization: Configure efficient context prompt caching, shorten historical memory, and block runaway nested subagent loops to slash CLI spend, With Claude Code MCP API Deploy Meta Developer Agent Meta Mose Code Mcp deployment to GITHUB Workspace.
- Run a Comprehensive AI Code Audit: Establish CI/CD validation to trap agentic drift and patch code vulnerabilities.
- Implement Advanced AI Cloud FinOps Solutions: Connect custom MCP cost servers natively to your workspace.
Message Me now!
Get to know Krispel
Krispel
FULLSTACK DEVELOPER SUPABASE ENGINEER SOFTWARE DEVELOPER
- FromUnited Kingdom
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English, German, Spanish
Did you build your application using Cursor, Lovable, Bolt.new, or v0?
While AI tools are fantastic at generating code fast, they often leave massive security loopholes, ignore Row-Level Security (RLS), and fail at scale.As a dedicated Supabase & Postgres Engineer, I step in where AI leaves off. Whether you need a secure pgvector pipeline for your AI agents, an enterprise MCP server setup, or urgent schema upgrades to survive the October 30 API exposure breaking change, I've got you covered.
Let's make your backend production-ready.
FAQ
What exactly causes a Claude Code token bill shock?
When using Claude Code, its autonomous nested subagents recursively execute multiple backend tasks to fix a single bug. Without an LLM gateway or strict middleware boundaries, these agentic loops run continuously, causing sudden token bill shock that can drain startup infrastructure budgets overnigh
How does a secure AI cost middleware protect my budget?
A secure AI cost middleware acts as a reverse proxy between your developers and the LLM providers. It intercepts the ANTHROPIC_BASE_URL pipeline to enforce hard daily budget limits, block unauthorized model usage, and execute automated token capping before your spend spins out of control.
What strategies do you use for Claude Code token optimization?
My strategy focuses on structural context reduction. I configure advanced Anthropic prompt caching, shorten historical memory windows, prune raw JSON error dumps, and enforce strict loop-breaking constraints directly inside the developer environment to achieve permanent token optimization.
Why does a startup need a dedicated LLM gateway?
An LLM gateway centralizes all model access (OpenAI, Claude, DeepSeek) into one endpoint. This lets engineering leaders track precise cost-per-feature analytics, manage API access keys securely, and switch models dynamically to maintain complete control over their AI FinOps footprint.
What happens during a professional AI code audit?
During an AI code audit, I scan your repositories to identify unverified AI-generated "slop code" and security flaws. I review the structural integrity of your code to fix agentic drift, eliminate redundant prompt configurations, and verify that the AI isn't confidently hallucinating cloud framework
How do your AI cloud finops solutions differ from standard cloud optimization?
Standard optimization looks at server usage, but AI cloud finops solutions target the non-deterministic nature of generative AI. I focus on optimizing token economics, token-routing pipelines, prompt cache hit rates, and the compute costs of autonomous multi-agent systems.
Can you prevent agentic drift in production code?
Yes. I establish automated CI/CD validation pipelines and strict regression testing frameworks. This catches subtle logic flaws and unauthorized architectural dependencies introduced by autonomous coding agents before they ever merge to your live production branch.
What technical tools do you use to deploy an LLM gateway?
Depending on your current cloud infrastructure, I build and deploy secure AI cost middleware using tools like LiteLLM, Portkey, Langfuse, or enterprise-grade proxies on AWS Bedrock and Google Cloud (GCP).
Do you integrate cost tools directly into the developer terminal?
Yes. I connect read-only Cloud FinOps MCP Servers and tools like the CloudZero plugin directly into the CLI. This ensures developers can see real-time cost-per-query data natively inside their workspace as they code.
Will token optimization slow down my engineering team's speed?
Not at all. Proper token optimization actually increases speed by caching repetitive prompts and keeping context windows clean. Your team gets cleaner code output and faster agent responses, without the risk of an unexpected API bill shock.
