Anaconda has acquired @kilocode, the open-source coding agent used by 3M+ developers. This further cements Anaconda as the AI-native development platform for the enterprise. Enabling security and governance – without the need to trade off velocity. bit.ly/4w3yuEH

Enterprises need a better way to unify their AI stack. Anaconda provides a trusted foundation for building an AI Dev Factory that delivers security, governance, and operational control throughout the AI lifecycle: bit.ly/4iVTmdi

The EU Cyber Resilience Act is now an engineering reality. With reporting obligations live, dependency triage, reachability analysis, incident response, and durable records are part of the operational work behind CRA readiness. Learn more: bit.ly/4xN0cFU

Enkrypt AI by Anaconda, now integrates with @OpenAI's ChatGPT Enterprise Compliance API. Compliance teams can scan workspace activity for prompt injection, policy violations, and sensitive data, with evidence attached to every finding. Learn more: bit.ly/4y0nKa5

🚀 Anaconda Scale 2026 is only two weeks away! Hear how enterprise teams are getting AI into production while navigating agent security, model choice, and runaway costs. And get a sneak peek at what’s next for the Anaconda Platform. Register today: bit.ly/46Evwvb

According to Gartner®, orchestration, supervision, and governance set the next generation of coding agents apart. @Kilo is 1 of 4 vendors evaluated in the Gartner® Cool Vendors™ report on coding agents. Explore how Kilo fits into this evolving market: bit.ly/42fx6BD

Amid calls to slow AI, it’s essential to define what that actually means. Anaconda’s Emilie Schario recently spoke with @ITBrew about the uncertainty around “slowing down,” and the opportunity it could create for orgs still building their AI foundation: bit.ly/4AuTIxU

20 days until Anaconda Scale 2026: AI on Your Terms. On October 15, hear from Anaconda leaders and teams at @NotionHQ, @Talamobile, and @WHOOP about scaling enterprise AI — and see what’s ahead for the Anaconda Platform. Save your spot: bit.ly/46Evwvb

When Anaconda began building its curated model catalog, we started with seven pass/fail criteria, covering everything from licensing to metadata. In this on-demand webinar, learn how that process evolved into the model curation pipeline we use today: bit.ly/4je9XJl

Manual AI model intake can take 3–6 months as legal, security, risk, and compliance teams run separate reviews. Automated intake meets the same governance requirements, without restarting the clock for every approval chain. Learn more: bit.ly/46DWrav

The Agent Incident Registry provides a clear record of what happens when agent actions go wrong. Since 2022, it's tracked 529 verified incidents—helping separate real harm from research demos, and making agent failures citable, comparable, and learnable. bit.ly/4rrio67

The Gartner® Cool Vendors™ report explores agentic AI and its role in software delivery, evaluating @kilocode alongside other vendors and identifying five value paths for AI-native development. Discover insights for teams building an agent strategy: bit.ly/42fx6BD

Instead of asking an agent to guess what the data looks like, Kilo can use the context and capabilities of the full Anaconda Platform to plan, build, and debug the right workflow. See how Kilo taps into the full power of the Anaconda Platform: bit.ly/4ynt2NK

Join us on Oct. 15 for Anaconda Scale — 90 virtual minutes with Anaconda leaders and customers who’ve taken AI from prototype to production. We’ll tackle agent security, runaway token costs, and what’s next for the Anaconda Platform. Register: bit.ly/46Evwvb

New @OmdiaHQ research commissioned by Anaconda found that only 17% of IT leaders surveyed have a unified AI observability strategy spanning teams, infrastructure, and governance. Download the full report to uncover and bridge your own visibility gaps → bit.ly/4icbPC6

We have a confession… For National Coding Week, we’re owning up to some of the workflow problems standing between developers and faster AI innovation. What’s your coding confession? Tell us below ⬇️

Setpoint is applying ML to some of the toughest problems in asset-backed lending, such as optimizing asset allocation. See how they’ve achieved 80% less infrastructure management and 3X faster ML workflow deployment with Anaconda AI Orchestration: bit.ly/46auhDQ

Declare dependencies → develop in a browser or VS Code → build the environment into a container → run the same code in the cloud. Watch the full demo of the developer experience in the Anaconda Platform: bit.ly/4qQT5Ky

AI coding assistants are becoming table stakes. Orchestration and governance are the next frontier. See how the new Gartner® Cool Vendors™ report evaluates @kilocode and identifies five value paths shaping AI-native software engineering through 2030: bit.ly/42fx6BD

Getting AI into production raises questions the prototype never had to answer. Agent security. Model flexibility. Token costs. Join us for Anaconda Scale on Oct. 15 for actionable insights from our leaders & customers to put enterprise AI into practice: bit.ly/46Evwvb