Skip to content
K = 0.731
All news · Today7 items

#Coding

All collected and published items, ordered by time. Picks are a selected subset.
9/17Thu
  1. GitHub Blog · AI & ML78

    GitHub uses Copilot to rewrite the Copilot runtime in Rust

    Using the GitHub Copilot app and Copilot CLI, GitHub completely rewrote the Copilot agent runtime from TypeScript into more than 800,000 lines of production Rust. AI agents wrote most of the code, merged incrementally into main across 128 pull requests rather than in a single cutover.

    Why it matters: Drawing on firsthand experience, the author reviews the 800,000-line Rust rewrite and shares agent-orchestration and review practices that can be reused.

9/12Sat
9/11Fri
  1. GitHub Blog · AI & ML38

    Getting started with the GitHub Copilot app: using the diff, terminal, and browser panels

    The GitHub Copilot app includes diff, terminal, and browser panels, letting users review, run, and preview AI-agent code changes without leaving the app. The diff panel marks additions in green and deletions in red, and supports accepting changes, commenting, or asking Copilot to revise them. The terminal can run project commands directly and supports switching between multiple windows.

9/9Wed
  1. Mistral AI58

    How Mistral uses AI agents to migrate 40,000 lines of legacy Fortran

    Mistral helped a European energy operator migrate a 40,000-line Fortran 77 reservoir simulator to C++. The codebase had no test suite or centralized documentation. The team first built a numerical-equivalence testing framework, then used a Skill.md to guide agents in exporting Fortran state snapshots and validating them in C++. A custom parser generated the call tree, and Vibe CLI coordinated hundreds of agents with Mistral OCR to fill documentation gaps.

9/8Tue
9/6Sun
9/5Sat
  1. GitHub Blog · AI & ML71

    GitHub previews Project HydraFusion for multi-model orchestration

    GitHub has released a research preview of Project HydraFusion, enabled in GitHub Copilot CLI with `/experimental` and selectable through `/model`. Usage is billed per token at each model's standard rate.

    Why it matters: GitHub reports quality and cost comparisons across three orchestration modes and three benchmarks, helping readers weigh multi-model orchestration for coding tasks.

9/4Fri
  2. GitHub Blog · AI & ML38

    Getting started with the GitHub Copilot app: running multiple agents at once

    The GitHub Copilot app supports multiple agent sessions at once, each in a separate Git worktree with its own context and no interference from others. Users can switch between sessions and resume where they left off. The sessions view shows each session's title and progress. The tutorial uses the tailspin-toys repository to run three tasks at once: a funded sort, an accessibility review, and tests.

9/3Thu
  1. Demis Hassabis · X78

    Google releases Gemini 3.8 Flash and 3.8 Flash Cyber

    Google has released Gemini 3.8 Flash, another upgrade less than a month after the previous one, and introduced Gemini 3.8 Flash Cyber for cybersecurity. Demis Hassabis says Flash Cyber advances the frontier of cyber defense; more details about the models and security work are on Google's official blog. Logan Kilpatrick says the model improves agentic and coding capabilities, marking the Flash line's third update in six weeks.

    Why it matters: Google has updated the Flash family again in under a month and introduced a dedicated Cyber version, showing its model-iteration pace and security focus.

  2. Google DeepMind82

    Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber

    Google DeepMind has released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber for defensive security work. The former improves substantially over 3.7 Flash in software engineering, agent tasks, and multi-step reasoning, while keeping the same price: $0.75 per million input tokens and $3.75 per million output tokens.

    Why it matters: The article details 3.8 Flash's gains in long-horizon coding and agent tasks, unchanged pricing, and availability, helping readers decide whether to replace existing workflows.

9/1Tue
  1. Z.ai 智谱 · X15

    GLM Coding Plan turns one, gives subscribers a reset card

    GLM Coding Plan turns one today. To celebrate, every current subscriber gets a Reset Card to reset their weekly and five-hour quotas. Thanks for using GLM, helping shape it, and continually pushing it to its limits. - Personal: http://z.ai/manage-apikey/coding-plan/personal/usage - Team: http://z.ai/manage-apikey/coding-plan/team/usage-stats

8/28Fri
  1. Z.ai 智谱 · X78

    Zhipu releases open weights for GLM-5.3

    Zhipu has announced open weights for GLM-5.3, which it calls its most capable model for agentic coding and cyber defense. The weights can now be downloaded, run, and customized from Hugging Face at zai-org/GLM-5.3; technical details are at z.ai/blog/glm-5.3.

    Why it matters: Zhipu has opened the weights of its flagship model for agentic coding and cyber defense, giving readers a view of the options for self-hosting and customization.

8/25Tue
  1. Hugging Face Blog60

    Multiverse Computing proposes Quantization-Aware Healing: 4-bit compressed model beats its bfloat16 original on seven of nine benchmarks

    Multiverse Computing has published a paper proposing Quantization-Aware Healing (QAH). After compressing GPT-OSS 120B to 60B parameters and quantizing it to MXFP4, the method distills directly from the original model before compression rather than from a recovered bfloat16 checkpoint.

    Why it matters: The paper presents a repair recipe that distills from the original model after compression and quantization, with stability comparisons against QAT.

8/17Mon
8/14Fri
8/4Tue
  1. Microsoft Research72

    Microsoft Research open-sources Orchard, a framework for scalable agentic AI

    Microsoft Research has released Orchard, an open-source framework centered on Orchard Env, a Kubernetes-based environment service that can be reused for different tasks and agent systems, including software engineering, web navigation, and personal assistants.

    Why it matters: Microsoft Research has open-sourced a reusable agent-environment service and three training recipes, offering insight into training smaller models within realistic deployment frameworks.

8/2Sun
7/31Fri
  1. DeepSeek · X78

    DeepSeek-V4-Flash official API enters public beta

    DeepSeek says its official DeepSeek-V4-Flash API is now in public beta. The company reports a major upgrade in agent capabilities, with benchmark scores well above V4-Pro-Preview. It natively supports the Responses API format and is fully adapted for Codex; setup details are in the official API documentation.

    Why it matters: DeepSeek has announced the V4-Flash API beta and improved agent capabilities, offering a basis for assessing integration with Codex.

7/27Mon
7/21Tue
7/6Mon
7/1Wed
6/15Mon
  1. Import AI42

    Import AI 461: Sequent says 'alignment is not on track,' plus FrontierCode and synthetic research interns

    The alignment team at the UK's AI Security Institute and Timaeus have jointly founded Sequent, a nonprofit research organization. It argues that “alignment is not on track” and plans to grow to 40–80 full-time staff within two years, with an initial fundraising target of $100–150 million. Research areas include scalable oversight, learning theory, heuristic argumentation, game theory, and personas.

6/10Wed
  1. Andrej Karpathy · X78

    Karpathy on Claude Fable 5: same base model as Mythos, with a major leap in long-horizon tasks

    Andrej Karpathy says Claude Fable 5 shares the same underlying model as Mythos but adds safety safeguards, and reaches state-of-the-art results by some margin on almost every benchmark.

    Why it matters: Drawing on firsthand use, Karpathy calls Fable 5 a release worthy of a major version-number jump and describes concrete changes on long-horizon tasks.

5/28Thu
  1. Mistral AI67

    Mistral launches industrial-engineering AI stack and Vibe agent, and announces a 10 MW data center in France

    At AI Now Summit 2026, Mistral launched an AI stack for industrial engineering and announced work with Airbus, BMW, and ASML to optimize design, simulation, and production while retaining control of proprietary data and IP.

    Why it matters: Mistral announced an industrial AI stack, the Vibe agent, and its own inference data center, showing the shape of its enterprise full-stack strategy.

5/22Fri
  1. Mistral AI82

    Mistral releases Mistral Medium 3.5 and Vibe cloud-based remote agent

    Mistral has released Mistral Medium 3.5, a dense 128B model with open weights under a modified MIT license. It becomes the default model in Mistral Vibe and Le Chat, with API pricing of $1.50 per million input tokens and $7.50 per million output tokens.

    Why it matters: Mistral is bringing its coding agent to the cloud while opening the weights of a 128B model, giving readers a basis for judging the feasibility of self-hosted coding agents.

5/16Sat
  1. Google DeepMind88

    Google DeepMind releases Gemini 3.5 Flash for agents and coding

    Google DeepMind has released Gemini 3.5 Flash, the first model in the Gemini 3.5 family, positioning it as a frontier model for agents and coding. It is available starting today in the Gemini app, AI Mode in Google Search, Google Antigravity, the Gemini API, and Gemini Enterprise.

    Why it matters: Gemini 3.5 Flash beats 3.1 Pro on coding and agent benchmarks and includes speed and cost comparisons, helping readers assess its potential for long-horizon tasks.

5/6Wed
  1. Google DeepMind80

    Google DeepMind reviews a year of AlphaEvolve, from mathematical discoveries to TPUs and commercial deployment

    Google DeepMind has published a one-year impact review of AlphaEvolve, the Gemini-powered coding agent. It has expanded from exploring open problems in mathematics and computer science to becoming a core component of Google's infrastructure.

    Why it matters: The official review summarizes AlphaEvolve deployments over its first year, helping readers assess how algorithmic agents are being used in science and infrastructure.

3/17Tue
  1. Mistral AI78

    Mistral releases Mistral Small 4, unifying reasoning, multimodal, and coding capabilities

    Mistral AI has released Mistral Small 4, the next major version of the Mistral Small family and its first model to combine Magistral's reasoning, Pixtral's multimodal, and Devstral's agentic-coding capabilities in one model. It is licensed under Apache 2.0.

    Why it matters: Mistral has combined reasoning, multimodal, and coding capabilities in one open small model, with adjustable reasoning effort and deployment requirements to help assess implementation costs.

  2. Mistral AI60

    Mistral releases Leanstral, an open-source coding agent for Lean 4

    Mistral has released Leanstral, which it calls the first open-source coding agent for Lean 4. It uses a sparse architecture with 6B active parameters; weights are available under Apache 2.0, and the agent is integrated into Mistral Vibe and the free `labs-leanstral-2603` API endpoint.

    Why it matters: Mistral has open-sourced a Lean 4 coding agent and reports cost and score comparisons with Claude models and open models, helping readers assess the value of formal-verification approaches.

3/11Wed
1/28Wed
  1. Mistral AI62

    Mistral releases Vibe 2.0, a terminal coding agent powered by Devstral 2

    Mistral has released Vibe 2.0, a terminal-native coding agent powered by the Devstral 2 family. New features include custom subagents, multiple-choice clarification, slash-command skills, a unified agent mode, and automatic updates.

    Why it matters: The official release details Vibe 2.0's custom subagents, slash-command skills, and billing, helping readers assess how to use and budget for a terminal coding agent.

12/9Tue
  1. Mistral AI82

    Mistral releases Devstral 2 coding models and Mistral Vibe CLI

    Mistral AI has released the next-generation Devstral 2 coding-model family, comprising Devstral 2 at 123B and Devstral Small 2 at 24B. Both are open-source, under modified MIT and Apache 2.0 licenses respectively.

    Why it matters: The article reports the two open coding models' sizes, licenses, SWE-bench results, and head-to-head comparisons with closed models, helping readers assess the current level of open coding agents.

7/30Wed
7/11Fri
6/4Wed
  1. Mistral AI60

    Mistral releases enterprise coding assistant Mistral Code

    Mistral has released Mistral Code, an enterprise AI coding assistant combining four models—Codestral, Codestral Embed, Devstral, and Mistral Medium. It supports cloud, dedicated-capacity, and on-premises air-gapped GPU deployments and is built on the open-source project Continue.

    Why it matters: Mistral packages models, an IDE plugin, and local deployment into an enterprise coding assistant and reports deployment scale at three European companies, giving a view of private coding solutions.

5/28Wed
  1. Mistral AI62

    Mistral releases Codestral Embed, its first code-embedding model

    Mistral has released Codestral Embed, its first embedding model designed for code. It outperforms Voyage Code 3, Cohere Embed v4.0, and OpenAI's large embedding model on real-world code-retrieval tasks.

    Why it matters: Mistral's first code-embedding model offers adjustable dimensions and precision, helping readers weigh retrieval quality against storage costs.