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All news · Today7 items

#Coding

All collected and published items, ordered by time. Picks are a selected subset.
10/2Fri
  1. GitHub Blog · AI & ML22

    AI is changing how developers work; GitHub highlights three skills to strengthen

    GitHub says developers need to strengthen three skills in the AI era: learn to direct AI agents rather than merely use them, do not trust an AI's first answer, and use time saved with AI to tackle bigger problems. It points to GitHub Copilot's built-in Rubber Duck agent, which uses a second model to critically review plans, code, and tests and catch issues the first model missed.

  2. Boris Cherny · X76

    Claude Code adds mods for customizing behavior, UI, and features

    Boris Cherny says users can now customize how Claude works and looks just by prompting it. He argues that different working styles call for different Claude experiences and encourages sharing mods as plugins. In the quoted announcement, @ClaudeDevs says Claude Code mods can change behavior, customize the UI, and add users’ own features; users can write them with a few lines of TypeScript or have Claude build them, then install them with /plugin in the CLI or desktop app.

    Why it matters: Packaging customizations as shareable plugins lets people with different working styles exchange changes to Claude Code’s behavior, interface, and features through the same installation workflow.

  3. Simon Willison32

    pwasm 0.2a0 released: Claude Opus 5.5 improves pure-Python WebAssembly engine

    Simon Willison's pure-Python WebAssembly engine pwasm reached version 0.2a0 after Claude Opus 5.5 took over and made 42 commits. It now supports almost the entire WASM specification. The PyPI wheel bundles working WASM builds of MicroPython, QuickJS, and Micro QuickJS. This release is still alpha, and the author says it is completely untrusted.

10/1Thu
  1. Google DeepMind88

    Google DeepMind releases frontier model Gemini 4 Argon

    Google DeepMind released frontier model Gemini 4 Argon, initially making it available through the Fairwind Program to trusted cybersecurity defenders before gradually expanding access. Pricing starts at $2 per million input tokens and $10 per million output tokens.

    Why it matters: Gemini 4 Argon raises the maximum output to 1M tokens and reports multiple benchmark results and internal deployment data, offering a view of its limits on long-running workflows.

9/30Wed
  1. AWS Machine Learning Blog62

    Claude Sonnet 5.5 launches on Amazon Bedrock and Claude Platform on AWS

    AWS announced that Claude Sonnet 5.5 is available on Amazon Bedrock and Claude Platform on AWS. It is positioned as a more efficient Sonnet model for coding and knowledge work, with lower per-task costs and faster speed for most tasks.

    Why it matters: The source describes Sonnet 5.5 improvements for coding and document tasks, its division of work with Opus 5.5, and access through Bedrock.

  2. TechCrunch · AI82

    OpenAI launches GPT-6.1 Sol, saying it approaches GPT-6 Astra at a lower price

    OpenAI launched GPT-6.1 Sol at DevDay, saying it approaches GPT-6 Astra’s intelligence on agentic coding, computer use, and professional work, at one-fifth the standard input and output token price.

    Why it matters: OpenAI launched GPT-6.1 Sol at DevDay at one-fifth the price, while also disclosing that GPT-6.1 Astra had been held back over safety concerns.

  3. AWS Machine Learning Blog66

    GPT-6.1 Sol now generally available on Amazon Bedrock

    GPT-6.1 Sol is now generally available on Amazon Bedrock, offering stronger reasoning for agentic coding, computer use, and professional workloads. OpenAI says it matches GPT-6 Astra on DeepSWE v1.1 at about one-fifth the cost per task, and scores 6.4 percentage points above GPT-6 Sol’s best result.

    Why it matters: The report gives GPT-6.1 Sol’s Bedrock availability and cost comparison, helping readers assess value for agentic coding tasks.

  4. OpenAI · X62

    OpenAI upgrades Codex Security Cloud with Daybreak Blue cybersecurity model enabled by default

    OpenAI announced a major upgrade to Codex Security Cloud, which now includes cybersecurity capabilities through Daybreak Blue by default. The service scans entire GitHub repositories, continuously reviews new commits, investigates and deduplicates findings, and prepares fixes for human review. It runs even when a laptop is closed and is available as a plugin in Codex desktop and web.

  5. The Decoder80

    OpenAI expands Codex and API at DevDay with security scanning, Decisions API, and Ultrafast

    At DevDay 2026 in San Francisco, OpenAI announced Codex and API expansions: Codex adds reusable cloud development environments and Codex Security Cloud repository vulnerability scanning; the ChatGPT desktop app gains a code review view; and Codex CLI has been redesigned with voice-based task initiation and control.

    Why it matters: The updates to security scanning, decision models, and speed tiers provide a view of changes to developer workflows and costs.

  6. The Decoder80

    OpenAI releases GPT-6.1 Sol at one-fifth the cost of Astra

    OpenAI has released GPT-6.1 Sol, saying it approaches the flagship GPT-6.1 Astra—which was delayed over safety concerns—in agentic coding, computer use, and office tasks, at about one-fifth the cost.

    Why it matters: With flagship Astra delayed over safety concerns, readers can compare Sol and Astra with Opus 5.5 on price and benchmark gaps.

9/29Tue
  1. Simon Willison88

    Live notes from OpenAI DevDay 2026: Dots agent, GPT-6.1 Sol, and Ultrafast unveiled

    Simon Willison live-blogged the OpenAI DevDay 2026 keynote at Fort Mason in San Francisco. OpenAI unveiled Dots, a personal agent powered by Astra, ChatGPT Space, GPT-6.1 Sol, and an Ultrafast mode reaching up to 300 tokens per second.

    Why it matters: The live notes track the announcements and demo mishaps as they happened, offering a view of how the new features worked in practice alongside the official messaging.

  2. OpenAI News78

    OpenAI releases GPT-6.1 Sol

    OpenAI has released GPT-6.1 Sol, positioning it as near-Astra intelligence for coding, computer use, and professional work. Standard API input and output tokens cost one-fifth as much as Astra.

    Why it matters: OpenAI describes GPT-6.1 Sol as close to Astra in capability at one-fifth the API price, giving readers a basis for weighing cost against performance.

  3. Latent Space78

    AINews: Opus 5.5 excels at generating explainer videos

    Latent Space's AINews roundup of developments from September 24–25 says community feedback was positive after Opus 5.5 launched that week, especially for generating explainer videos with code.

    Why it matters: The weekly roundup offers a quick look at model and agent-infrastructure developments, including community feedback on Opus 5.5's code-generated videos and how vendors position their new models.

  4. AWS Machine Learning Blog62

    xAI's Grok 4.7 launches on Amazon Bedrock

    xAI's Grok 4.7 is now available on Amazon Bedrock with a 500K-token context window and four configurable reasoning levels: low, medium, high, and xhigh. It supports the Responses, Chat Completions, and Converse APIs, and is served through cross-region inference profiles at the bedrock-runtime endpoint.

    Why it matters: The article details how to access Grok 4.7 on Bedrock and its four reasoning levels, helping readers weigh cost and latency for long-running agent tasks.

  5. Simon Willison80

    Anthropic releases Claude Sonnet 5.5

    Anthropic has released Claude Sonnet 5.5. The company says it runs more than 30% faster and costs up to 30% less on most tasks. It retains Sonnet 5's pricing while outperforming its predecessor across benchmarks.

    Why it matters: The author tests Sonnet 5.5's coding performance and availability on the free tier, and compares it directly with Opus 5.5.

9/28Mon
9/27Sun
9/26Sat
9/25Fri
9/24Thu
  1. GitHub Blog · AI & ML22

    How the GitHub Copilot app renders enormous pull requests

    The GitHub Copilot app rebuilt its pull-request view to render huge PRs smoothly, including one with 2,200 files, more than one million changed lines, and over 400 inline comments. It separates document height into deterministic code geometry and dynamic-block geometry: code line heights are calculated precisely in advance, while dynamic blocks such as comments are anchored by stable keys to a file, line, and side, measured lazily, and adjusted only slightly to avoid scroll jumps.

9/23Wed
  1. Latent Space88

    Anthropic releases Claude Opus 5.5 as OpenAI launches GPT-6 Sol and Luna the same day

    Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family. The company says it reaches Claude Fable 5.1 levels on most tasks, costs 40% less to run than Opus 5, and becomes the default model in Claude Code and the Claude app.

    Why it matters: Two labs launched new models and cut prices sharply on the same day, giving readers a way to compare their approaches to capability and per-task cost.

9/22Tue
  1. Kimi · X32

    Kimi K3 launches on Amazon Bedrock

    Kimi K3 is now on Amazon Bedrock! Use Bedrock's access, encryption, and audit controls to run coding, document analysis, and extended agent workflows. Explicit prompt caching is supported. Start building with K3 on AWS 👉 https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-moonshot-ai-kimi-k3.html

9/21Mon
  1. Simon Willison40

    Engineer claims everyone from L1 to L7 at a big company uses Claude Code to write software

    A newly hired engineer at a large company says Claude Code generates everything on the team—specs, code, tests, PRDs, tickets and their handling, and reports. Engineers from L1 to L7 are all doing the same thing: chatting with Claude. No one reads the output, no one on the team likes this workflow, but they are told to produce as much as possible. Senior leaders repeatedly say pushing code is not the bottleneck and ask why progress is still slow; employees work 12 to 13 hours a day just to press Enter.

9/18Fri
  1. GitHub Blog · AI & ML22

    GitHub Podcast unpacks AI hot takes: should you read code, is RAG dead, and did Skills kill MCP?

    The latest GitHub Podcast examines five popular AI claims. AI-generated code still needs to be read and owned, with review effort scaled to risk; Skills and MCP address different needs, with Skills packaging team expertise and MCP standardizing connections to tools and data; and RAG is not dead, since it can coexist with agents, Skills, and MCP in one workflow. The episode also discusses judging AI fluency in hiring and how fine-tuning needs can signal codebase maintainability problems.

9/17Thu