Tutorials Intermediate
Qwen3.8-Flash-Next: Preserved Thinking, Cheaper Agents
Qwen keeps reasoning across every turn by default. Exploit it, or pay for it.
11 min read·Kodetra Technologies
5d agoGuides
AI Guides for Builders
How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
Tutorials 
Tutorials Intermediate
Gemini Spark Agents: One API Call, One Cloud Sandbox
The Managed Agents API behind Gemini Spark: build a persistent cloud agent in Python.
9 min read·Kodetra Technologies
27d ago
Tutorials Intermediate
Kimi K3 Reasoning Effort: Stream Thoughts, Cut Cost
Tune Kimi K3's low/high/max reasoning effort and stream reasoning_content to control token cost.
9 min read·Kodetra Technologies
Jul 21
Tutorials Intermediate
Port Kimi K2 Agents to K3: The Reasoning-History Trap
kimi-k3 is not a drop-in swap. Map the params right and dodge the trap that breaks tool loops.
9 min read·Kodetra Technologies
Jul 17
Tutorials Intermediate
GPT-5.6 Persisted Reasoning: Reuse Thinking Across Turns
Use reasoning.context to reuse GPT-5.6's chain of thought across turns and cut redundant tokens.
9 min read·Kodetra Technologies
Jul 16
Tutorials Intermediate
Grok 4.5 Tool Loops: Tune Effort and Cache to Cut Cost
Build an agentic Grok 4.5 tool loop in Python: route reasoning_effort and cache to slash cost.
7 min read·Kodetra Technologies
Jul 10
Tutorials Intermediate
GPT-5.6 Sol: Max Effort and Ultra Subagents in Python
Use GPT-5.6 Sol's new max reasoning effort and ultra subagents via the Responses API.
13 min read·Kodetra Technologies
Jun 30
Tutorials Intermediate
Stream Gemini Thinking: Build a Show-Your-Work CLI
Stream Gemini's thought summaries live, control reasoning effort, and track thinking-token cost.
8 min read·Kodetra Technologies
Jun 27
Tutorials Intermediate
Gemini Thought Summaries: Audit Deep Think Reasoning
Surface, stream, and log Gemini 2.5 Pro Deep Think's reasoning chain with thought summaries.
10 min read·Kodetra Technologies
Jun 26
Tutorials Intermediate
GLM-5.2 Open Weights: Route Reasoning Effort by Task
Build a cost-aware GLM-5.2 agent that routes thinking effort per task and calls tools.
9 min read·Kodetra Technologies
Jun 19
Tutorials Intermediate
Mercury 2 dLLM: Reasoning at 1000 Tokens Per Second
Build real-time agents on the first reasoning diffusion LLM: OpenAI-compatible, 1000 tok/s.
8 min read·Kodetra Technologies
Jun 19
Tutorials Intermediate
Fable 5 Effort: Cut Thinking Token Costs in Python
Claude Fable 5 always thinks. Use effort, display and max_tokens to control reasoning cost.
9 min read·Kodetra Technologies
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