Cheaper agents. Same code.
Articles for developers shipping with AI coding agents. How to cut inference costs, when to route through a gateway, and which model picks make sense in 2026. Every post is also available as raw markdown: pipe it straight into your agent.
curl https://juscode.co/blog/<slug>.md
- Concepts2026-06-20
Gift a future: give a certification, give an AI education
You can now gift a jusCode certification or jusCode credits to a friend's email. Give someone proof of their skills, or the runway to practice with AI agents. Here's how it works.
Read · or /blog/gift-a-future.md for agents
- Concepts2026-06-05
Hiring AI-fluent roles via hackathon: why hands-on assessment beats a résumé in 2026
AI tools collapsed the gap between average and excellent for product managers, business analysts, QA, ops, and consultants. A 4-hour task tells you more than a 4-round interview loop. Here's how to run one, and where it breaks.
Read · or /blog/hackathons-for-hiring-ai-fluent-roles.md for agents
- Integration2026-05-30
Codex CLI custom providers: what works, what's tricky, and what's coming
A practical walkthrough of OpenAI Codex CLI's custom provider config: the TOML format, the Responses-API requirement that trips everyone up, and where jusCode fits.
Read · or /blog/codex-cli-custom-provider.md for agents
- Concepts2026-05-30
The inference chokepoint of 2026
The bottleneck in AI coding is no longer model quality. It's getting tokens out at a price that lets your agent run all day. A thesis on where the real chokepoints are in 2026 inference economics, and the three layers where you can still find leverage.
Read · or /blog/inference-chokepoint-2026.md for agents
- Comparison2026-05-27
LLM gateway comparison 2026: OpenRouter vs Helicone vs Portkey vs jusCode
There are four common shapes of LLM gateway in 2026. They look interchangeable from the API surface and aren't. Here's what each is actually optimized for and when to pick which.
Read · or /blog/llm-gateway-comparison-2026.md for agents
- Integration2026-05-27
Open Interpreter + custom provider: cheap inference for a code-running agent
Open Interpreter runs code on your machine and needs a model behind it. With one --api_base flag you can route through jusCode and drop inference cost 60-80% without changing how OI runs code.
Read · or /blog/open-interpreter-custom-provider.md for agents
- Integration2026-05-27
Roo Code + custom endpoint: agent forks shouldn't cost frontier prices
Roo Code (a Cline fork) supports any OpenAI-compatible base URL. Here's the 2-minute config that routes through jusCode and drops autonomous-edit bills 60-80% without giving up Roo's multi-mode workflow.
Read · or /blog/roo-code-custom-endpoint.md for agents
- Comparison2026-05-26
AI coding tools in 2026: 12 picks ranked by what they're actually good at
Honest ranking of the AI coding tools worth using in 2026, organized by use case. Plus where each fits in a real engineering team's workflow.
Read · or /blog/ai-coding-tools-2026-ranked.md for agents
- Integration2026-05-26
Aider on a budget: point it at a cheap OpenAI-compatible endpoint
Aider is one of the most token-hungry coding agents because it sends full file context every turn. Here's how to cut your Aider bill 70% with one environment variable.
Read · or /blog/aider-cheap-inference.md for agents
- Comparison2026-05-26
The cheapest LLM API for coding agents in 2026, ranked
Honest cost-per-1k-tokens comparison across OpenAI, Anthropic, Together, Fireworks, OpenRouter, and jusCode for typical coding-agent workloads. Updated May 2026.
Read · or /blog/cheapest-llm-api-for-coding-2026.md for agents
- Integration2026-05-26
Cline + custom endpoint: cut your VS Code agent bill 60%+
Cline supports any OpenAI-compatible base URL via its "OpenAI Compatible" provider. Here's the 2-minute config that drops your autonomous-edit bill 60-80% without changing how you use it.
Read · or /blog/cline-custom-endpoint.md for agents
- Integration2026-05-26
Continue.dev: configure a custom model in 30 seconds
Continue (VS Code + JetBrains) is the most flexible open-source coding agent. Here's the config.json snippet that points it at any OpenAI-compatible endpoint for cheaper inference.
Read · or /blog/continue-custom-model.md for agents
- Comparison2026-05-26
Your Cursor bill is too high: three ways to cut it in 2026
Cursor's default settings push every keystroke to Sonnet 4.5. Here are three concrete ways to drop the monthly bill 50–80% without changing your workflow, ranked by effort.
Read · or /blog/cursor-too-expensive-options.md for agents
- Integration2026-05-26
Your custom agent harness: point it at a cheaper endpoint in one line
Building your own coding-agent harness (OpenClaw, nemoClaw, Hermes-based, in-house)? If it speaks OpenAI Chat Completions, it speaks jusCode. Here's the universal config plus what to watch for.
Read · or /blog/custom-agent-harness-openai-compatible.md for agents
- Integration2026-05-26
Use Goose (Block) with a custom provider: 5-minute setup
Block's open-source Goose agent toolkit accepts any OpenAI-compatible provider. Here's how to route it through jusCode for cheaper, model-agnostic coding without changing your goose-extensions or workflow.
Read · or /blog/goose-custom-provider.md for agents
- Concepts2026-05-26
Hermes models for coding agents: what they're good at, what they're not
Hermes 3 and Hermes-style instruction-tuned models punch above their weight on tool use. Here's where they fit in a coding-agent stack and how to route them via an OpenAI-compatible endpoint.
Read · or /blog/hermes-models-and-coding-agents.md for agents
- Concepts2026-05-26
Inference endpoints for coding agents: what's actually different
A coding-agent inference endpoint isn't just a chat endpoint with longer context. It has different latency profile, different tool-use semantics, different caching needs. Here's what to look for.
Read · or /blog/inference-endpoint-coding-agents.md for agents
- Concepts2026-05-26
OpenAI-compatible API, explained: what it actually means in 2026
Half the LLM ecosystem advertises "OpenAI-compatible." Some compatibility is real; some is shallow. This post explains what the term means, what to test before trusting it, and why drop-in compatibility is the most important standard in AI infrastructure.
Read · or /blog/openai-compatible-api-explained.md for agents
- Comparison2026-05-26
OpenRouter alternatives in 2026: when to use each
Side-by-side review of OpenRouter, Portkey, LiteLLM, Helicone, and jusCode. When each makes sense, what they cost, and the architectural tradeoffs.
Read · or /blog/openrouter-alternatives-2026.md for agents
- Comparison2026-05-26
Together vs Fireworks vs jusCode: pick the right open-weights gateway in 2026
All three host open-weights models behind OpenAI-compatible endpoints, but they serve different jobs. Honest side-by-side: catalog, latency, per-token rates, routing logic, and when to pick each.
Read · or /blog/together-vs-fireworks-vs-juscode.md for agents
- Concepts2026-05-26
What is an inference endpoint? A 2026 guide for AI builders
Plain-English explanation of inference endpoints, how they differ from training, what OpenAI-compatible means, and how to choose one for your application or coding agent.
Read · or /blog/what-is-an-inference-endpoint.md for agents