Claude Code

2026-10-08

MODELS · 1 SOURCE · The Decoder

AI-powered ARTEX used in likely single-attacker breach of multiple South Korean banks

CrowdStrike reports a suspected Chinese-speaking attacker breached multiple South Korean financial institutions between late September and early October 2026, stealing large volumes of customer data (Shinhan Bank reportedly lost over 25,000 records, per Khan). Researchers say the attacker used ARTEX—an open-source AI automated-penetration-testing tool leveraging DeepSeek v4.1-flash, GLM-5.3, and Grok 4.6—and left Claude Code session logs that indicate attempts to market stolen data.

8.0

2026-10-07

MODELS · 1 SOURCE · AWS Machine Learning

Claude Opus 5.5 and Sonnet 5.5 available on Amazon Bedrock in AWS GovCloud (US) with Claude Code

Anthropic’s Claude Opus 5.5 and Claude Sonnet 5.5 (alongside Claude Sonnet 5) are available via Amazon Bedrock in AWS GovCloud (US); Sonnet 5 holds FedRAMP Class D and DoD IL4/IL5 authorizations and Opus/Sonnet 5.5 hold FedRAMP Class D certification on Bedrock (users should verify current model certification status). The post outlines using Anthropic’s agentic coding tool Claude Code with Bedrock’s bedrock-runtime and bedrock-mantle endpoints, describing security features (Zero Operator Access), compliance pathways, and integrations for CI/CD and developer tooling.

8.0

2026-10-07

RESEARCH · 1 SOURCE · Microsoft Research

Microsoft Research Asia open-sources Agent Lightning v1.0, a lightweight harnessed agentic RL framework

Microsoft Research Asia released Agent Lightning v1.0, a roughly 3,500-line open-source implementation of a Harnessed Agentic RL training paradigm that trains on the same agent harness used in deployment via an LLM proxy. The framework runs agents as native Kubernetes jobs, avoids reimplementing agent harnesses, and includes an end-to-end coding-agent example that raised Qwen3.5-9B’s Pass@1 on SWE-bench Verified from 41.8% to 56.4% using about 6,000 training samples.

7.0

2026-10-05

COMPANIES · 1 SOURCE · The Decoder

Meta and Microsoft sharply cut internal use of Anthropic's Claude

Meta and Microsoft — two of Anthropic's largest enterprise customers — have sharply reduced internal usage of Claude. Microsoft cut Claude spending by more than a third and slashed a cloud-division monthly per-employee budget from about $100,000 to $10,000 while steering staff to in‑house tools like GitHub Copilot and OpenAI models; Meta’s Claude Code users fell from roughly 60,000 to 30,000 amid layoffs and a push toward its own models (Muse Code/MetaCode), with one 28-day period costing Meta over $105 million on Claude Code.

8.0

2026-10-05

CODING · 1 SOURCE · AWS Machine Learning

Amazon SageMaker launches aws-ai-ml agent skill for inference optimization

Amazon introduced the aws-ai-ml skill available through the Agent Toolkit for AWS, which plugs into MCP‑compatible coding agents (e.g., Kiro, Claude Code, Codex) to benchmark SageMaker endpoints, recommend deployment configurations, compare performance runs, and generate executable SageMaker Python SDK v3 code. The skill can be used locally via the Agent Toolkit or inside Amazon SageMaker Studio JupyterLab and requires AWS credentials with SageMaker API permissions.

6.0

2026-10-03

RESEARCH · 1 SOURCE · The Decoder

LEGO-Anything agents generate editable 3D scenes from single photos but misjudge correctness

Researchers at the University of Maryland and AWS introduced LEGO-Anything, an Image-to-Code approach where coding agents iteratively write Blender code to reconstruct an editable 3D scene from a single photo. They also released LEGO-Bench (208 images from 104 simulated scenes, 443 assets) to evaluate validity, reconstruction, and appearance, finding GPT-6 Astra achieved the best scores (≈53.4% indoor, 39.6% outdoor) but models struggle with self-assessment and geometric accuracy; a no-training extension, LEGO-Plugin, fixes some failure modes and substantially improves weaker agents.

7.0

2026-10-03

CODING · 1 SOURCE · The Decoder

Anthropic launches 'Mods' plugin system for Claude Code to let developers extend the tool

Anthropic introduced "Mods" for Claude Code — JavaScript/TypeScript functions that run inside the coding tool and hook into events like prompts, tool calls, and UI rendering so developers can add panels, intercept calls, or create new commands. Mods run with the user's permissions (not sandboxed), work in the CLI and desktop app and partially in the VS Code extension; sample Mods are on GitHub, organizations can restrict which Mods load, and the first built-in Mod is "You Should Know."

6.0

2026-10-02

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

DigitalOcean launches Managed Agents in public preview

DigitalOcean launched DigitalOcean Managed Agents in public preview, a managed cloud infrastructure layer for AI agents that combines a microVM-based Harness Runtime for persistent, isolated agent sessions and an Action Gateway that centralizes and governs tool access (via an MCP endpoint) with connectors to many services; features include pause-when-idle sessions, parallel execution, security-hardened compute/storage, and access to over 16,000 tools.

6.0

2026-10-01

COMPANIES · 1 SOURCE · Anthropic

Barclays expands deployment of Anthropic's Claude across the bank, targets 50% developer adoption by end of 2026

Barclays is deepening its strategic collaboration with Anthropic to roll out Claude across its global operations to accelerate software development, modernize legacy systems and improve operational efficiency. The bank expects Claude Code adoption to reach 50% of its developer population by the end of 2026 and a majority in 2027; existing Claude-powered uses include a Colleague Knowledge Assistant (16,000 users, >1M searches) and Global Markets tooling that processes ~120,000 emails per day, and Barclays says it will couple deployment with strong governance, security controls and human oversight.

7.0

2026-09-30

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

CodeScene agents refactor 300K-line Street Fighter III codebase in three weeks

CodeScene published a case study in which coding agents refactored a 300,000-line C codebase (a decompiled Street Fighter III: 3rd Strike) over three weeks for roughly $4,000 in token costs, producing 2,903 commits across 726 files, modifying 252,055 lines and raising a Code Health score from 5.6 to 10.0. The project used a deterministic CodeHealth MCP Server score and a replay-trace harness to check behavioral correctness, favored Claude Opus (Claude Code) over Codex (Sol), produced a 22-recipe refactoring playbook, and prompted practitioner debate about scope, generalizability and real-world safety/performance implications.

7.0

2026-09-28

MODELS · 1 SOURCE · The Verge AI

AI is supercharging cyberattacks, exposing small hospitals, banks and nonprofits

Recent advances in AI agent models have made it easier for attackers to automate and scale cyberattacks, while the most powerful defensive models (e.g., Anthropic's Mythos, OpenAI's Astra) are reserved for major firms and critical maintainers. As a result, smaller institutions—from community hospitals and local banks to nonprofits like Vivian’s Door—face growing, asymmetric cybersecurity risks and limited access to the tools to defend themselves.

8.0

2026-09-28

COMPANIES · 2 SOURCES · The Decoder · TechCrunch AI

Meta launches Meta Enterprise Platform to sell Muse AI services to businesses

Meta is creating a new business unit, the Meta Enterprise Platform, to sell AI tools to companies; the initial lineup includes the Muse agent, Meta Business Agent, Muse API, and Muse Code. Chirantan Desai, formerly CEO of MongoDB, will lead the unit and report directly to Mark Zuckerberg; Meta hasn’t disclosed pricing or commercial details and faces competition from coding tools and low-cost open-weight models, while the Wall Street Journal reports Meta is spending over $100 billion on AI infrastructure this year.

8.0

2026-09-28

RESEARCH · 1 SOURCE · arXiv cs.AI

Stealth Apart, Harm Together: paper introduces skill-cascading attacks on skill-based agents

The paper defines "skill cascading" attacks, where a malicious objective is split across multiple otherwise-benign skills so their combined execution produces harmful outcomes. The authors release SkillCascade, an automated red-teaming framework, and SkillCascade-Bench (213 validated cascading test cases), and show cascades can induce harms across representative agents (e.g., OpenClaw, Claude Code, Codex) and LLM backbones while evading per-skill scanners and runtime monitors.

8.0

2026-09-28

RESEARCH · 1 SOURCE · arXiv cs.AI

Study identifies frequent cost-inefficient behaviors in coding agents and evaluates mitigations

arXiv:2609.30725v1 analyzes 1,200 trajectories from Claude Code and Mini-SWE-Agent on SWE-bench Verified, identifying three recurring cost-inefficient behaviors (subsumed retrieval, similar script generation, test re-execution) that affect 79–98% of tasks and can account for up to 22.75% of task cost. The paper evaluates three mitigations (structure-aware retrieval, agent-synthesized skills, developer-designed skills) over 10k held-out trajectories and reports that structure-aware retrieval can sometimes increase costs (up to 28.14%), agent-synthesized skills give limited, low-level gains, while developer-designed skills reduce costs by up to 41.73%, about twice the maximum gain from agent-synthesized skills.

7.0

2026-09-25

RESEARCH · 1 SOURCE · arXiv cs.AI

ArXiv paper proposes 'Jev' router to govern enterprise AI coding-agent harnesses and cut model costs

The paper (arXiv:2609.28919v1) studies ‘‘harnesses’’—products that run AI coding agents—and presents Jev, a fast calibrated classifier-based router that labels prompts by agentic request type and routes work to reduce model spend without rebuilding session caches. Using repricing of ~10,000 real sessions from public datasets and Anthropic list prices dated 21 September 2026, the authors estimate a 14–21% reduction in model costs ($3.3M–$5.0M/year) for an emulated 10,000-seat enterprise; they also map risks across twenty harnesses and propose an internal control plane for enterprises.

7.0

2026-09-20

CODING · 1 SOURCE · InfoQ AI, ML & Data Engineering

Alibaba open-sources OpenCodeReview, an AI-assisted code-review CLI

Alibaba has open-sourced OpenCodeReview, a Go-based, Apache-2.0 licensed CLI that combines deterministic pipelines for file selection, bundling and rule matching with an LLM agent for dynamic code analysis. The tool, reportedly used internally for two years, supports OpenAI- and Anthropic-compatible models, integrates with GitHub/GitLab/Gerrit/VS Code, and ships with benchmarks and caveats about deliberately lower recall compared with broader agents.

6.0

2026-09-19

CODING · 1 SOURCE · The Decoder

Unity releases official plugins for Claude Code and OpenAI Codex

Unity has released official plugins for Codex and Claude Code with engine-maintained skills. Its Codex plugin starts with 31 skills for UI, 2D graphics, URP, audio, navigation, physics, in-app purchases, multiplayer, web and localization, and supports Unity 6+. Unity says the plugins help coding agents use current engine APIs and check their work against project context.

6.0

2026-09-18

MODELS · 4 SOURCES · Anthropic · TechCrunch AI · The Verge AI · The Decoder

Anthropic releases Claude Opus 5 — lower-cost model claiming near‑frontier performance

Anthropic announced Claude Opus 5, a new model positioned as a cost‑efficient successor to Opus 4.8 and the new default on Claude Max (and the strongest on Claude Pro). Anthropic says Opus 5 matches or exceeds prior models on many coding, knowledge‑work and scientific benchmarks (Frontier‑Bench, GDPval‑AA, CursorBench, ARC‑AGI, Zapier AutomationBench, OSWorld) at lower cost per task while remaining behind Mythos 5 on security and biology frontier tasks; the company also reports improved alignment and safety in pre‑deployment audits and links a System Card for more details.

8.0

2026-09-18

CODING · 1 SOURCE · AWS Machine Learning

Hugging Face publishes six open-source Skills to deploy models on Amazon SageMaker AI via coding agents

Hugging Face published six open-source 'Skills' (GitHub) that let coding agents orchestrate end-to-end deployment of Hugging Face models to Amazon SageMaker AI. The skills automate selecting the correct serving container from AWS Deep Learning Containers, creating real-time or serverless endpoints with autoscaling and CloudWatch alarms, and provide verified teardown paths; they run using Python and the AWS CLI and are designed to prevent fragile or costly agent-made deployment mistakes.

6.0

2026-09-17

CODING · 2 SOURCES · The Decoder · The Verge AI

Anthropic revamps Claude Code Projects with parallel agent threads and shared memory

Anthropic rebuilt the Projects feature in Claude Code so users describe a goal and a coordinator splits the work across parallel "threads," each running as its own cloud session; threads can track progress, open pull requests, run tests, and contribute to a growing shared memory and central file library. The beta is available to select Pro and Max subscribers using cloud sessions, with Team/Enterprise access and local execution planned for later.

6.0

2026-09-16

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

Duolingo pairs AI literacy training with an autonomous PR risk‑assessment bot

At QCon London, Duolingo engineer Sarah Deitke described how the company's DevEx AI team combines internal lab-style AI literacy workshops and AI observability dashboards with guardrails to enable an automated PR risk‑assessment bot that redesigns code review; the approach reportedly speeds delivery without increasing defect rates. The talk emphasized pairing targeted developer education with monitoring and safety measures to build trust and accountability for autonomous tooling.

5.0

2026-09-16

COMPANIES · 1 SOURCE · Anthropic

Anthropic announces Enterprise Frontier Safeguards to combine zero-data-retention with customer-controlled monitoring

Anthropic announced Enterprise Frontier Safeguards (EFS), a phased rollout starting later this fall that pairs zero data retention with automated misuse detection while keeping activity data in cloud infrastructure controlled by customers. EFS was developed with more than 100 customers and cloud partners (AWS, Google Cloud, Microsoft Azure) and will be supported across Claude products and select cloud platforms; eligible customers will retain ZDR on Fable 5 and Fable 5.1 until EFS is available.

8.0

2026-04-24

MODELS · 1 SOURCE · DeepSeek

DeepSeek publishes open-source DeepSeek‑V4 preview with 1M-token context

DeepSeek has open-sourced a preview of DeepSeek‑V4, offering two variants: DeepSeek‑V4‑Pro (1.6T total / 49B active params) and DeepSeek‑V4‑Flash (284B total / 13B active params). The company says both models support a default 1M-token context, introduce novel token-wise compression and DSA (DeepSeek Sparse Attention), claim open-source state‑of‑the‑art agentic and reasoning performance (trailing only Gemini‑3.1‑Pro among models they compare to), and are available now via chat.deepseek.com and updated APIs with compatibility for OpenAI ChatCompletions & Anthropic endpoints; older models deepseek-chat and deepseek-reasoner will be retired on Jul 24, 2026 at 15:59 UTC.

8.0