IA 2026 The Survival Guide after the end of Premium Requests

The April 2026 announcement marked a turning point: GitHub officially ended the principle of “Premium Requests” to switch to a real consumption (AI Credits) model. From now on, each interaction is billed by the weight of the data. For a developer, this means that poor context management can be costly.

Here is the complete guide to navigating this new AI economy.

1. The New Anatomy of Interaction (System June 2026)#

Component Definition “Legacy” Logic (Pre-2026) “Modern” Logic (June 2026) Optimization (Save $)
Request The API call (your “Enter”). 1 question = 1 fixed unit. Variable. A query costs according to its complexity. Batching: Merge several requests into one.
Payload Raw data (Code + Context). Hidden in the package. The cost driver. Defines the number of input tokens. Repomix: Compress the project into a single optimized file.
Token Atomic unit ($\approx$ 4 char.). Invisible. Universal currency. Around $0.01 / 1000 tokens. Prompt Caching: Reuses the context (-90% on input).
AI Credits Your monthly balance. 300 or 1500 requests. 1 Credit = $1. Your $10-39 is converted into your “purse”. Model Routing: Only release the “Pro” model for architecture.

2. Comparison of Offers & Use Cases (Target June 2026)#

This table summarizes the best options on the market according to your real needs, whether technical or daily.

How to Create a Custom Skill

I built the article-writing skill to turn CLI conversations into publishable markdown articles. V1 was mostly Codex-oriented, then I iterated: more generic extraction, cleaner deliverables, and 4 tones/voices.

Here is a reproducible method to create a custom skill.

Preconditions#

Having a CLI tool like claude code, copilot, codex or any other with a SKILL.md file to host your custom skill.

SKILLS/<skill-name>/SKILL.md

Example:

SKILLS/article-writing/SKILL.md

How-to#

1) Define the scope#

Define the skill behavior in one complete sentence: