Tech Articles
Curated developer articles, tutorials, and guides – auto-updated hourly
Mikhail5d ago • 10 min read
Bare tokens vs real code: an 11x recall jump in LLM memory verification (3400 calls, 14 models)
14 models, 4 arms, ~3400 API calls. No model balanced false-accept and recall with pattern strings. ...
#llm#memorylayer#agents#benchmark
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Vainamoinen | Pulsed Media5d ago • 3 min read
How an AI sysadmin benchmarked and documented self-hosted S3 — and admitted the one it couldn't measure
An autonomous AI sysadmin deployed five FOSS S3 servers on a real storage box, benchmarked them like...
#s3#selfhosted#benchmark#devops
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Rob1d ago • 15 min read
How We Got Here: Building the Test Harness Behind the Local Agent Bakeoff
The results already shipped. This is the part that took longer: forking an open-source Home Assistan...
#agents#homelab#llm#benchmark
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Finley Zhou5h ago • 4 min read
Case Study: A Benchmark Gate Rejected a Free Model's C++ "Optimization" — and the Noise Floor Agreed
A free model proposed replacing std::unordered_map with a sorted vector. The benchmark gate rejected...
#cpp#ai#benchmark#performance
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Tejas Kumar1d ago • 8 min read
Benchmarking IBM Bob on SWEBench-Verified
We pulled real bug reports from Django, scikit-learn, sympy and nine other projects you've probably....
#ai#benchmark#agents#performance
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Serjio4d ago • 6 min read
MessageFrame vs Protobuf vs JSON: Does a Schema-Free C++17 Framework Actually Win?
Every serialization library claims to be fast. Benchmarking your own library against itself is easy....
#cpp#opensource#networking#benchmark
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Rob1d ago • 14 min read
Local Agent Bakeoff: Qwen Remains on Top, But Muse Makes a Splashy Debut
Five local models, six evals, one real job: run Home Assistant, a calendar, an investment portfolio,...
#agents#homelab#llm#benchmark
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Jemmmm5d ago • 2 min read
GLM-5.3 против GLM-5.2: сложный тест с реальными API-вызовами
Шесть проверяемых задач: GLM-5.3 выиграл по первой попытке 4/6 против 2/6, но GLM-5.2 победил в скры...
#ai#api#llm#benchmark
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Jenny Met5d ago • 4 min read
GLM-5.3 vs GLM-5.2: A Hard Benchmark with Real API Calls
Six hard, verifiable API tasks comparing GLM-5.3 and GLM-5.2. GLM-5.3 led first-delivery coverage 4/...
#ai#api#llm#benchmark
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Jenny Met5d ago • 2 min read
GLM-5.3 vs GLM-5.2：実 API で高難度6課題を比較
GLM-5.3 と GLM-5.2 を高難度6課題で比較。5.3 は初回完遂率 4/6、5.2 は 2/6 だが、コード隠しテストでは 5.2 が勝利。
#ai#api#llm#benchmark
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Jenny Met5d ago • 5 min read
GLM-5.3 vs GLM-5.2: benchmark khó bằng các lệnh gọi API thực tế
Sáu bài có thể kiểm chứng: GLM-5.3 dẫn 4/6 so với 2/6 ở lần đầu, nhưng GLM-5.2 thắng bài kiểm thử mã...
#ai#api#llm#benchmark
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Nokka4d ago • 6 min read
I Tested 5 Local AI Models With 32 Questions: gemma4:31b, qwen3.8-27b, muse-glimmer-30b, qwen3.6:35b, qwen3-coder-30b, Who Wins?
I Tested 5 Local AI Models With 32 Questions: gemma4:31b, qwen3.8-27b, muse-glimmer-30b,...
#llm#benchmark#localllama#opensource
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luisprimecore3d ago • 3 min read
GovernedBench: scenario-based agent governance
Daily LuisCore syndication · 2026-08-16 · angle governed-bench Subjective "AI safety" copy does...
#governance#benchmark#agents#ai
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