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Tool of the week: Ray—scale Python from laptop to cluster with tasks/actors; resilient execution; production-grade ML libs (Train, Tune, RLlib, Serve). Docs:

Tech briefs:.• singleflight—deduplicate concurrent calls; stop cache stampedes. Overview: .Docs:

Tech briefs:.• Or-channel pattern—combine multiple done channels into one (recursive impl). [ARTICLE LINK].• “Concurrency” in Learn Go with Tests—parallel URL checks via goroutines/channels.

Tech briefs:.• Go 1.25 is out (tools/runtime/stdlib updates). • Experimental encoding/json/v2 (opt-in via GOEXPERIMENT=jsonv2). Details:

Full chapter: “Go Concurrency” (Mastering Go, 4th ed.)—goroutines, channels vs mutex/atomics, pipelines, errgroup, and semaphore-backed pools. Read:

Interview: Mihalis Tsoukalos on goroutine ownership, cancellation, and supervision—concurrency as a design principle, not a bolt-on. Watch + transcript:

Feature: structured concurrency you can ship. Context everywhere, cancel fast, bound parallel ism, fail together with errgroup, and instrument cancellations/timeouts so ops can see what’s happening.

Go 1.25 ships container-aware GOMAXPROCS—parallelism now tracks your cgroup CPU limit and adapts as limits change, cutting throttling and tail-latency spikes. Release notes:

Deep Engineering #14 is out: Structured Concurrency in Go. Apply Go's container-aware defaults at the code level—request-scoped contexts, deadlines, bounded pools—for predictable behavior under load. Read the issue:

🚀 Now Open: C++ Memory Management Masterclass 🚀. Reserve your spot here - Over 70% of critical security vulnerabilities come from memory safety errors. This live, 2-day workshop with Patrice Roy, ISO C++ Standards Committee member and author of C++

RT @raydelto: @PatriceRoy1, member of the C++ Standard Committee and author of the best-seller C++ Memory Management book, is teaching a tw….

Where it fits: longer, high-context tasks. Where it doesn’t: trivial one-liners. LangChain notes a faster local CLI is in progress. Read the full breakdown here ⬇️.🔗

Codebase:. • MIT-licensed.• TypeScript monorepo.• Extensible via LangGraph. Public demo requires your own LLM key.Repo: #OpenSource.

Setup details matter:. • GitHub App with repo write access.• Webhook secret.• AES-GCM SECRETS_ENCRYPTION_KEY.• API keys for providers (Anthropic, OpenAI). Docs: . #Architecture.

Two entry points:. • Web UI (manual vs auto).• GitHub Webhooks (labels: open-swe, open-swe-auto, open-swe-max*). Note: webhooks require self-hosting; they don’t work in the demo. Docs: . #GitHub.

Every run executes in a dedicated Daytona sandbox. LangChain: one sandbox per task. Daytona’s Ivan Burazin: this enables long-running, stateful work with strong isolation. 🔗 . #DevTools.

Two distinctive features:.✅ Human-in-the-loop plan approval.✅ “Double texting” (mid-run feedback without restarting).(Source: LangChain Blog, Aug 6, 2025).🔗

How it works:.Manager → Planner → Programmer (+Reviewer). A multi-agent flow built with LangGraph. Plans can be approved manually or auto-accepted. Docs:

LangChain’s own launch post calls it “the first open-source, async, cloud-hosted coding agent.”.It connects to repos, drafts a plan, writes/tests code, reviews its output, and raises a PR. 🔗 #LangChain #OpenSource.