Deep Dives
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Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
Large Language ModelsEveryone is talking about loop engineering, but most discussions assume an LLM sits at the…
22 min read -
How to define recurring work, give AI the right context, explain what high-quality work looks…
10 min read -
Cross-provider PR review with Codex in GitHub Actions, and why a second opinion from a…
25 min read -
How Much Does It Actually Cost to Run a Local LLM? (Euros per Million Tokens, Measured)
Large Language ModelsI measured the actual GPU electricity for eight local models on one RTX 3090 —…
11 min read -
Long sessions rot quietly, well before any token limit is reached. Here’s why, and how…
20 min read -
Two techniques, two different problems, and why the question is not really “which one wins”
11 min read -
Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work
Large Language ModelLLMs don’t fail because they forget—they fail because they remember too much. As conversations grow,…
22 min read -
A practical next step into partitions, shuffles, joins, caching, and execution plans.
16 min read -
What our over-dependence on external consulting teaches us about delegating our minds to machines
25 min read -
Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy
Artificial IntelligenceA measured look at distributed training, from DDP and FSDP to the ZeRO stages in…
29 min read
