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
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How-to content for builders, indie hackers, and AI engineers. Less theory, more shipped code.
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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
Today
Machine Learning Intermediate
Build a Deployment Simulation Eval to Catch Model Drift
Replay real conversations through a candidate model to predict misbehavior before you ship.
11 min read·Kodetra Technologies
Yesterday
Tutorials Intermediate
Fable 5 Prompt Caching: Slash 1M-Token Codebase Costs
Reuse a huge codebase prefix across every Fable 5 call and pay ~90% less.
8 min read·Kodetra Technologies
3d ago
Tutorials Intermediate
Kimi K2.7 Code: Build a Multi-File Refactor Agent
Drive Moonshot's open-weight coding model through a real tool-calling loop in Python.
9 min read·Kodetra Technologies
3d ago
Machine Learning Intermediate
DiffusionGemma in Python: Generate Text 4x Faster
Run Google's open diffusion LLM with Transformers and learn why it decodes text in parallel.
9 min read·Kodetra Technologies
4d agoMore guides like this?
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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
4d ago
Tutorials Intermediate
DeepSeek V4 Pro: Cheap 1M-Token Context in Python
Use DeepSeek V4 Pro's auto KV cache to run huge-context jobs for cents.
8 min read·Kodetra Technologies
6d ago
Tutorials Intermediate
MiniMax M3: Master 1M-Token Long Context With MSA
MiniMax M3 hands-on: MSA sparse attention plus real 1M-token long context, with runnable Python.
10 min read·Kodetra Technologies
7d ago
Tutorials Intermediate
Handle Fable 5 Refusals With Fallbacks in Python
Catch Claude Fable 5's stop_reason refusal and auto-retry on Opus 4.8 without breaking production.
10 min read·Kodetra Technologies
8d ago
Tutorials Intermediate
Gemma 4 Tool Calling: Build a Local AI Agent
Run Google's open Gemma 4 locally with Ollama and wire up real function calling for an agent.
10 min read·Kodetra Technologies
8d ago
Tutorials Intermediate
Claude Opus 4.8 Fast Mode: 2.5x Faster Output in Python
Use speed:"fast" on Claude Opus 4.8 for up to 2.5x faster output, with a safe rate-limit fallback.
9 min read·Kodetra Technologies
9d agoPage 1 of 3