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The useful part is not the 800,000-line headline. GitHub has published unusually detailed receipts for a production-scale agent-assisted migration: roughly $120,000 of token spend, 14.5 weeks of incremental releases, dozens of regressions, extensive compatibility tests and a workload-specific jump from 7.55 to 120 session lifecycles per second.
From September and October, Copilot Business and Enterprise seat access becomes more tightly coupled to upfront payment. A separate September 28 policy migration enables a unified Copilot experience by default, retains github.com chat data for the life of the account and changes code review’s default effort from Lite to Balanced.
Copilot Projects can coordinate agents, files and recurring tasks across repositories or non-code work; review and permissions remain human responsibilities.
GitHub Enterprise customers can trade Copilot seat fees for usage-only billing. The key catch: zero included credits, staged eligibility and voluntary migration.
GitHub's multi-model coding orchestration is now GA, with admin-controlled model pools and per-model charges. Local routing remains experimental and cloud-dependent.
GitHub Apps can now authenticate Copilot SDK workloads without a user's credentials. Organisation admins control installation permissions, usage attribution and budgets.
Copilot now offers model-reviewed action approvals between manual and Allow All. Unlike OS sandboxing, this probabilistic gate can approve unsafe operations; unattended CLI flags may leave unexpectedly broad permissions.
The useful boundary change is that Copilot can now cross from code and terminals into ordinary desktop interfaces, with per-app approval and organisation-level controls.
The material change is that model routing is no longer a single opaque optimization target. Developers can now tell Copilot whether to bias Auto toward lower cost, a middle ground or higher quality while GitHub still chooses a model prompt by prompt.
The technical-preview feature separates Copilot CLI from GitHub Cloud for core coding, shell and repository workflows, giving regulated and isolated environments a supported agent path while leaving cloud-dependent capabilities such as GitHub-hosted model selection and web search unavailable.
Copilot code review now moves from advisory assessment toward a governed merge gate. The public preview remains off by default, and GitHub’s current docs let administrators separate AI approval itself from whether that approval counts toward required-review policy.
GitHub Copilot can now turn Slack or Teams threads into collaborative cloud-agent sessions. Teammates can add context and steer the work in public, while repository permissions, agent budgets and optional extra PR approvals remain the main control boundaries.
This is a platform migration with a real rewrite boundary. Existing HTML games need to be rebuilt through Unity, Cocos or Laya, then have login, ads, purchases and other TikTok capabilities reintegrated and retested before relaunch.
Node 26 is now production LTS. Teams using floating LTS selectors should test which major their CI, containers and native modules actually run.
Effect 4's performance and LTS claims remain, but 4.0.2 explicitly marks some formerly unlabelled APIs unstable without changing their current behavior, signatures or types.
The Cloudflare move is a hard migration deadline for Deno Deploy users and a major maintenance change for Deno runtime adopters. JSR will continue, and self-hosted distributed Workers are still a future plan.
Branch previews are common for frontend code, but Worker Previews extends the boundary to the runtime itself. Each branch can have independent bindings, state and logs, making parallel human and agent work safer while preserving a production-like execution path.
Estuary’s new runtime is less about an AI label than a data-correctness problem: the same pipeline is meant to move from millisecond streams to large backfills without exposing downstream systems to partial transactions or requiring separate batch reconciliation.
TRACE targets a gap between audit promises and what an AI agent actually did at runtime. Its v0.2 developer preview can bind model, policy, data and tool-use claims to confidential-computing attestation, but it is still pre-ratification and explicitly not ready to treat as a production compliance guarantee.
SvelteKit 3's Vite and #lib migration remains the main upgrade boundary; 3.1.1 now also fixes security-sensitive server-only module and cross-origin path handling, so deploy a patched 3.x build.