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<div style="display: none; max-height: 0px; overflow: hidden;">While most engineering leaders report significant productivity and satisfaction gains from AI coding tools, organizations are simultaneously </div>
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<h1><strong>TLDR DevOps <span id="date">2026-06-26</span></strong></h1>
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<strong>You're now building at a scale that deserves a pro-tool. (Sponsor)</strong>
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Other CI platforms make you compromise on flexibility, speed or scale.<p></p><p>Need 1,000 concurrent runners? 10,000? 100,000+? Done. Buildkite runners live on your infra, ours, or both. Parallelize, fan-out and orchestrate to depths a faster runner can't reach.</p><p>With Buildkite, you get pipelines across any language or cloud, flaky-test detection with auto-quarantine and test splitting, artifact management to cache dependencies and secure your supply chain, and agentic components like first-party MCP and universal pipeline triggers.</p><p>Try the 30-day all-access trial. No credit card. Real engineer on standby.<strong> </strong><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fbuildkite.com%2Fpricing%3Futm_campaign=Primary05152026%26utm_source=tldrtech%26utm_medium=newsletter_cta/1/0100019f039b522e-fa4a299c-d223-473d-a9ea-f8236114e8c5-000000/LL2Zr9P-5blqdNWLgl2W678Mj58AOq2Ach30Zw8ougY=452" rel="noopener noreferrer nofollow" target="_blank"><span><strong>Start building →</strong></span></a>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.argoproj.io%2Fargo-cd-v3-5-release-candidate-02b1fbf7b419%3Futm_source=tldrdevops/1/0100019f039b522e-fa4a299c-d223-473d-a9ea-f8236114e8c5-000000/ciLKqJkuUQGfv_PJMsk5nUyPsWn-FZGpAWiqxGU-wIo=452">
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<strong>Argo CD v3.5 Release Candidate (8 minute read)</strong>
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Argo CD 3.5 introduces major enhancements, including ApplicationSet UI support with deployment previews, beta status for impersonation and Source Hydrator, Helm 4 compatibility, repo-server mTLS, source integrity validation, and expanded multi-tenant capabilities for large-scale GitOps environments. The release also improves Azure integration, Gateway API visualization, CLI namespace support, application search, reliability, performance, and documentation.
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<strong>Grafana 13.1 release: observability as code updates, extending Grafana Assistant across more data sources, and more (6 minute read)</strong>
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Grafana has expanded its observability-as-code capabilities with Git Sync reaching general availability, adding support for GitLab, BitBucket, and signed commits, while Grafana Assistant now supports eight additional data sources, including Snowflake, Oracle, and Elasticsearch. The 13.1 release also introduced section-level variables for more granular dashboard control and extended Private Data Source Connect to MQTT, GitHub Enterprise Server, and IBM Db2 for secure connections to private networks.
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<strong>Getting more from each token: How Copilot improves context handling and model routing (8 minute read)</strong>
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GitHub Copilot is improving agent efficiency by reducing redundant context through prompt caching, deferred tool loading, and cache-aware routing, while introducing Auto model selection to match tasks with appropriate models dynamically. These changes aim to optimize cost, performance, and quality across long agentic sessions by minimizing repeated computation and improving model-task alignment.
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<strong>Building Modelplane on Crossplane (9 minute read)</strong>
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Nic Cope, a longtime Crossplane engineer, built Modelplane—an open-source control plane that unifies scattered GPU clusters across clouds into a single inference fleet for serving AI models—entirely using Crossplane compositions and functions without writing custom operators. The project pushed Crossplane's capabilities to their limits, revealing and helping fix several framework bugs, including Python keyword conflicts in schema generation, match-all resource selectors for the fleet scheduler, and discrepancies between the `crossplane render` testing tool and actual runtime behavior.
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<strong>How to Write an Effective Software Design Document (14 minute read)</strong>
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Effective design docs help teams make expensive technical decisions before implementation, especially when a project is complex, risky, cross-team, ambiguous, or likely to live in production for years. A good doc should focus on decisions where being wrong is costly, then clearly lay out the objective, background, goals, non-goals, scenarios, diagrams, constraints, SLOs, monitoring, interfaces, dependencies, security, privacy, open questions, and alternatives so reviewers can give useful feedback before the team commits to the wrong path.
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<strong>Flyte 2: Open-source AI runtime (Sponsor)</strong>
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AI runtime is the infra layer that gets Pythonic AI workflows to production. Deployed in your cloud, it solves failures from both code and compute (like OOM). Handles retries, dynamic branching and recovery. Try locally with the Flyte 2 Devbox.<p></p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.union.ai%2F%3Futm_source=newsletter%26utm_medium=paid%2520partnership%26utm_campaign=TLDR%2520DevOps%25202/2/0100019f039b522e-fa4a299c-d223-473d-a9ea-f8236114e8c5-000000/SxEg2k8xG7ABIL8IL5rFUpAE3UMaAX30qlGkzSWcbmw=452" rel="noopener noreferrer nofollow" target="_blank"><span>Try the Flyte 2 Devbox →</span></a>
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<strong>No-mistakes (GitHub Repo)</strong>
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no-mistakes is an open-source tool that acts as a local git proxy that intercepts pushes, runs AI-driven validation checks in a disposable worktree, and only forwards code to the remote repository after all checks pass, automatically opening a pull request with safe fixes applied. The tool offers both an interactive terminal UI for manual approval of changes and a headless "/no-mistakes" skill that integrates with coding agents like Claude Code, ensuring no unvalidated code reaches the target repository.
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<strong>Orca (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Orca, a new open-source "AI Orchestrator" tool, lets developers run multiple AI coding agents, like Claude Code, Codex, and OpenCode, simultaneously in isolated environments to compare their outputs and manage them from desktop or mobile devices. The MIT-licensed platform includes features like side-by-side agent comparison, remote execution capabilities, integrated code review tools, and support for over 30 different AI coding assistants.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Faws.amazon.com%2Fblogs%2Fdevops%2Fproduction-ready-autonomous-incident-resolution-with-aws-devops-agent-now-ga-and-datadog-mcp-server%2F%3Futm_source=tldrdevops/1/0100019f039b522e-fa4a299c-d223-473d-a9ea-f8236114e8c5-000000/g3se_VisEXIWqeptgb7ZfBbdsY5kwi4Ty78sME8aODQ=452">
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<strong>Production-Ready Autonomous Incident Resolution with AWS DevOps Agent (now GA) and Datadog MCP Server (7 minute read)</strong>
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