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Практические руководства по AI-инфраструктуре, MLOps, моделям и выводу в продакшн.

Allaidevopskubernetesllmai-agentssecuritysrebackend
Balancing Pruning and Diversity
2026-10-25 22:19:47.062159

Balancing Pruning and Diversity

Test-time reasoning is increasingly the place where quality is won or lost. Generating many candidate reasoning paths and then selecting the best ones lets…

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LLM Drift Detection in Regulated Environments
2026-10-25 22:19:25.628713

LLM Drift Detection in Regulated Environments

Regulated industries do not have the luxury of treating a Large Language Model deployment as an experiment. In banking, health tech, fintech and tax returns, a…

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Hybrid Execution for Coding Agents: Macro Skills, Micro Recovery
2026-10-23 21:49:51.054812

Hybrid Execution for Coding Agents: Macro Skills, Micro Recovery

Bundled macro skills make coding agents cheap but brittle; primitive tool calls make them robust but costly. Here is how to run macros first, verify every result, and fall back to small steps only when the workspace shows it is needed.

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Generative AI's Hidden Impact on Developers: What Surveys Miss
2026-10-23 06:52:47.90704

Generative AI's Hidden Impact on Developers: What Surveys Miss

Developers say AI makes them faster, but the evidence shows hidden costs: almost-right answers, a gap between felt and measured speed, tool admin work and accessibility barriers. Here is what the research says and how to measure it in your team.

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Pixel-Space Diffusion Is Back: What Changed and How to Evaluate It
2026-10-23 06:52:36.980645

Pixel-Space Diffusion Is Back: What Changed and How to Evaluate It

Diffusion directly on pixels now competes with latent diffusion, without a separately trained autoencoder. What HDiT, SiD2, JiT and 2026 research changed, where pixel models still lose detail, and a practical way to test the trade-off on your own images.

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Cutting LLM Inference Costs: Lessons from Cloudflare's 68% Cut
2026-10-23 06:52:22.936027

Cutting LLM Inference Costs: Lessons from Cloudflare's 68% Cut

Cloudflare cut its AI code reviewer's average cost per review by 68%. Here is what that number does and does not mean, and a measured playbook for your own workload: prompt cache breakpoints, fewer agent calls, right-sized models and batch.

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LLMs Write Code, But Don't Fix Silos
2026-10-22 11:19:35.302601

LLMs Write Code, But Don't Fix Silos

Generative AI is changing how software gets built by shifting where developer skill is applied. The thesis is straightforward: LLMs accelerate code production…

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Blast Radius Analytics
2026-10-22 09:50:44.565782

Blast Radius Analytics

The Complexity of Modern Distributed Microservices Modern banking, healthtech, and tax platforms are no longer monoliths. They are composed of hundreds of…

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Beyond Unit Tests: Testing How Your System Fails and Recovers
2026-10-18 07:41:41.62782

Beyond Unit Tests: Testing How Your System Fails and Recovers

Unit tests prove a function is correct, not that a system survives a slow database or a lost zone. A practical guide to cold-start integration tests, fault injection with Toxiproxy, circuit breakers, recovery drills and safely automated mitigation.

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AI's Double-Edged Impact on DevOps: Faster Changes, Shakier Releases
2026-10-18 07:41:30.420111

AI's Double-Edged Impact on DevOps: Faster Changes, Shakier Releases

DORA's research links AI adoption to lower delivery stability. A new simulation shows why: AI-written code overloads review and enlarges deployments, while CI agents can mask defects. Here is how to measure it and keep the speed.

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Популярные темы

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Последние публикации

  1. 01Balancing Pruning and Diversity2026-10-25
  2. 02LLM Drift Detection in Regulated Environments2026-10-25
  3. 03Hybrid Execution for Coding Agents: Macro Skills, Micro Recovery2026-10-23
  4. 04Generative AI's Hidden Impact on Developers: What Surveys Miss2026-10-23
  5. 05Pixel-Space Diffusion Is Back: What Changed and How to Evaluate It2026-10-23

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