Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming) header
Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming) profile picture

Wolven Tech: Rust consulting. AllSource Prime: durable AI memory → https://nitter.gq/t.co/CfdDxoKhs5 Longhand: AI workflows & training → https://nitter.gq/t.co/Rbml5TOtFF

London, United Kingdom
Joined January 2014
Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)Photo by Decebal | Rust for the AI execution layer ⚙️ (@ddonprogramming)
1,000 followers. Thank you. Marking it by opening something up: I am taking on fractional full stack AI developer work through Wolven Tech Ltd. Five spots. One is already taken. How it works below.
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The agent changes its answer. Your conversation test carries on with a reply written for the old one. Check the next user turn before trusting its score. 1/5
🤖 Made with AI
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Version the simulator, retain complete conversations and review failures with domain expertise. Separate agent mistakes from simulator mistakes before changing a release decision. An implausible follow-up can be an evaluation defect. 4/5
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Systemd accepted Rust for new leaf programs, keeping shared core code in C. Support merged October 24; the November 3 explanation sets out the limits. Rust & AI Weekly #20 covers that decision and three tool evaluations. A thread. 1/6
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Sysinfo 0.40.1: Trial for telemetry. Review removed APIs, OsString interface names and Windows load-average handling alongside GPU collection. Use the refresh workload your collector needs. No author benchmark was independently reproduced here. 5/6
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Issue #20 has version dates, licence checks, separate maintenance/adoption signals and proposed acceptance checks. Radar: 98 tools. The systemd merge and earlier crate releases are dated explicitly. decebaldobrica.com/blog/2026… 6/6
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The profiler shows a blank device lane. Before changing capacity, prove the capture contains the device’s work. Start with a known operation. 1/5
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Use a known operation to verify that device events appear. Retain the capture boundary, synchronisation point and warm-up exclusions. Then measure the intended workload with its normal execution behaviour. 4/5
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Bring the complete diagnostic trace and representative benchmark to the next performance review. These are proposed checks. No local profiling experiment was run. huggingface.co/blog/amazon/p… 5/5
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A successful Claude request can carry a profile ID the provider never looked up. Trace one customer through a retry and a batch before adding a provider route. 1/5
🤖 Made with AI
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Trace a tenant through retries, batches and supported fallback routes. Compare intended identity with the outgoing profile and the platform’s checks. Attribution loss is a proposed application failure test, not a reported provider defect. 4/5
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