Free LLM AI for Coding with AgentRouter

in #tutorialyesterday

Tired of paid API limits holding back your coding workflow? AgentRouter offers a practical free solution: an OpenAI- and Claude-compatible LLM gateway that gives new users substantial free credits—often $100 right after signup (with potential bonuses via referrals or GitHub), no credit card required.

Sign up at agentrouter.org using GitHub, then create an API token from the dashboard. You’ll see a balance that can include an immediate usable amount plus daily or bonus credits. The platform aggregates models like DeepSeek (Flash and Pro variants), GLM 5.1, Claude Opus, and others, with clear pricing tiers for free, efficient, balanced, and premium options.

Setup is straightforward for developers. In VS Code, open an extension such as Kilocode (or similar tools like Continue). Add a custom provider, paste your AgentRouter API key, set the OpenAI-compatible base URL from their docs, and select a model. Once authenticated, the models appear and respond just like native providers.

In practice, you can assign real coding tasks—reviewing a task.md file, completing type-safety improvements, refactoring modules, or debugging. The agent reads context, makes file changes, and reports progress while usage logs track token spend in real time. Complex tasks can consume credits faster (one example used several dollars), so breaking projects into smaller modules helps maximize the free quota.

AgentRouter shines for everyday coding assistance: code generation, reviews, fixes, and agent-style workflows without juggling multiple paid subscriptions. Credits are finite and the service is community-oriented, so treat it as a strong free starting point rather than unlimited production infrastructure. Create your key, point your favorite coding extension at it, and start shipping with free LLM support today.