News & guides
Streaming in Python: Reading SSE From an LLM API
Consume an OpenAI-compatible token stream in Python — the raw wire format, parsing data lines, partial chunks, tool-call deltas, timeouts and what buffering breaks.
· 9 min read
Summarisation in Agent Loops: Compressing Without Forgetting
Long sessions have to shed context. What to summarise, what must survive untouched, when to trigger it, and how to tell a good summary from a lossy one.
· 8 min read
SWE-bench Explained: What the Percentage Actually Measures
SWE-bench scores get quoted constantly and understood rarely. What the benchmark does, why its variants are not comparable, and what it cannot tell you.
· 9 min read
SWE-bench Leaders Compared: Reading the Scores Correctly
Verified and Pro are different benchmarks and the scores are not comparable. Who leads each variant in 2026, and what the numbers do and do not tell you.
· 9 min read
Synthetic Training Data: What It Does and Where It Fails
How generated data is used to train modern models, what distillation and self-instruct pipelines look like, and what the model-collapse evidence actually supports.
· 9 min read
Terminal-Bench Explained: Scoring Agents That Run Commands
Terminal-Bench measures whether a model can be left alone in a shell and still finish the job. What it runs, what it misses, and how to read a score.
· 9 min read
Terminal-Bench Leaders: The Benchmark That Predicts Agents
Terminal-Bench puts a model in a real shell and scores what happens. Who leads version 2.1, why the ordering differs from SWE-bench, and how to read it.
· 9 min read
Test-Time Compute: Buying Accuracy With Tokens Instead of Size
Spending more computation at inference can substitute for a larger model. How the trade works, where it pays off, and what it does to your latency budget.
· 9 min readThe Artificial Analysis Index Explained: What It Does Measure
A single number that ranks every model is convenient and easy to misread. What the AA Intelligence Index aggregates, and where it stops being useful.
· 9 min readThe Best Model for Students on a Real Budget
What actually matters when your AI budget is pocket money: token economics, free tiers, open weights on a laptop, and when to spend the extra.
· 9 min read
The Cheapest Frontier Models, Priced Honestly
List prices across the open-weight field span more than twenty to one. Where the cheap models are genuinely sufficient, and where the gap is real.
· 9 min read
The Cost of AI in CI: Why Pipelines Multiply Your Spend
A model call in CI runs on every push, every branch and every matrix leg. The arithmetic behind that multiplication and the gates that keep it bounded.
· 11 min readReady to try it?
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