Tutorials Gemini Spark Agents: One API Call, One Cloud Sandbox
The Managed Agents API behind Gemini Spark: build a persistent cloud agent in Python.
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials The Managed Agents API behind Gemini Spark: build a persistent cloud agent in Python.
Tutorials Structure prompts so DeepSeek's disk cache hits, and pay ~50x less on repeated input tokens.
Tutorials Build a thinking-mode tool-calling agent on DeepSeek V4-Flash-0731 without the 400 error.
Tutorials Build an autonomous file-editing coding agent on DeepSeek V4-Flash's tool-calling API for pennies.
Tutorials Build a token-thrifty tool-calling agent on Gemini 3.6 Flash using the new thinking_level control.
Tutorials Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
Tutorials Structure prompts, set prompt_cache_retention, and read cached_tokens to slash GPT-5.6 input costs.
Tutorials Use GPT-5.6's Responses API so the model writes JavaScript to run your tools in one call.
Tutorials Load a whole repo into Gemini 3.5 Pro's 2M context, query it without RAG, and cache to cut cost.
Tutorials Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
Tutorials Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.
Tutorials Build a browser-control agent with Gemini 3.5 Flash's new computer_use tool and Playwright.