Updates and recent posts about AIStor..

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@faun shared a link, 10 months, 2 weeks ago

FAUN.dev()

Tencent’s AI-powered programming tool fully automates app development

Tencent’s AI team rolled out a 24-hour, invite-only beta of CodeBuddy to50,000 devs. CodeBuddy flips chat into code via itsconversation-is-programmingIDE. Devs forge end-to-end apps with natural language. Trend to watch:Chat-based IDEs portend a shift to natural-language dev workflows... read more

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@faun shared a link, 10 months, 2 weeks ago

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Cursor makes developers less effective?

METRtapped 16 devs to squash 136 live bugs withCursor(Sonnet 3.5/3.7). They clocked 146 h. AI users zipped through code, but stalls, reviews, and IDE lag devoured their lead. One dev who logged 50+ hours withCursorunlocked a 38% speedup. That steep learning curve and costly context pivots wipe out g.. read more

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@faun shared a link, 10 months, 2 weeks ago

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To be a better programmer, write little proofs in your head

Developer sketchesproofsmid-code. This drives first-run correctness by leaning onmonotonicity,immutability,invariants, andpre/postconditions. They carve code into atomic steps. They erectfirewallsto contain impact zones. They wield induction for recursive logic—proof-affinity blooms. They drill form.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Automating Terraform Imports with Configuration Generation Using Claude Code

Terraform v1.5 debuts anexperimental flag,-generate-config-out. It grabs configs duringresource importand spits out raw HCL. Teams stash assets in animportblock, trigger the flag, then polish the generatedmain.tf. IaC onboarding feels like a sprint... read more

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@faun shared a link, 10 months, 2 weeks ago

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Alibaba Launches Qwen3-Coder AI Model for Agentic Programming Excellence

Alibaba unleashedQwen3-Coder, a480B-parameter MoE titan. It ignites35Bparameters per token to code, debug, and automate workflows. It spans256Ktokens of context—and can stretch to a million. It ships asQwen3-Coder-480B-A35B-Instructon Hugging Face and GitHub. It hooks intoQwen CodeCLI orClaude Code... read more

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@faun shared a link, 10 months, 2 weeks ago

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I Watched Gemini CLI Hallucinate and Delete My Files

The Gemini CLI on Windows bungled a failedmkdir. It flagged the error as success, then ranmovecommands. Files landed in a ghost folder and got overwritten. Data vanished. WindowsmkdirsetsERRORLEVELon failure.movetreats missing targets as rename directives. No exit-code checks. No read-after-write ve.. read more

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@faun shared a link, 10 months, 2 weeks ago

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Amazon AI coding agent hacked to inject data wiping commands

A hacker slipped a wiper intoAmazon Qv1.84.0 via a dodgy GitHub pull. AWS revoked every key, nuked the rogue commit, then rolled outAmazon Q v1.85.0... read more

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@faun shared a link, 10 months, 2 weeks ago

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Secrets Management Tools: The Complete 2025 Guide

Pulumi ESC corrals secrets from 20 + stores—Vault, AWS, Azure, GCP—into a singleYAML config-as-codeengine. It spawns dynamic short-lived credentials and locks every action behind a centralized audit log. Existing secret stores stay intact. Retrieval hitssub-secondspeeds. Envelope encryption shields .. read more

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@faun shared a link, 10 months, 2 weeks ago

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OpenAI prepares to launch GPT-5 in August, The Verge reports

OpenAI set to launch GPT-5 in August, blending distinct models for versatile AI functionality. Watch for potential delays due to development hurdles or competitor announcements.Implication: OpenAI is shifting from "one model fits all" to a modular AI architecture. Expect future LLMs to act more like.. read more

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@faun shared a link, 10 months, 2 weeks ago

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SQL Injection as a Feature

Over ten years, the legacy report page mutated from a locked-downSQLform. It ended up as a hidden console spilling raw database guts. Developers swapped hardcoded queries fordatabase-drivenreport names. They slapped ontimeouts,string filters, and warnings but skipped restoring safe defaults. Implic.. read more

AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.