Development Skill
Angular Migration
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and…
$15
Async Python Patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance…
A production-grade playbook for building non-blocking, high-throughput Python systems with asyncio and async/await. It turns the event loop, structured concurrency, bounded parallelism and graceful shutdown into repeatable patterns so your I/O-bound services handle thousands of concurrent operations on fewer servers.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category Development
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
One single-threaded event loop, never blocked: every asyncio decision in this skill traces back to that rule, and the code is built outward from it:
- Triages I/O-bound versus CPU-bound first: async only pays for I/O; CPU-heavy work is pushed to run_in_executor with a thread pool or ProcessPoolExecutor so the event loop never stalls, and time.sleep is banned in favor of asyncio.sleep.
- Structures concurrency by Python version: TaskGroup on 3.11+ for structured concurrency with automatic cancellation and except* handling, gather with return_exceptions=True plus explicit Exception filtering on older versions.
- Caps parallelism deliberately: Semaphore for rate-limited API calls, bounded Queue for producer-consumer pipelines, TCPConnector limits for HTTP pooling. An unbounded gather over thousands of URLs is treated as a socket-exhaustion incident in waiting.
- Manages every resource through async context managers: aiohttp sessions, DB connections and file handles always live inside async with, so cleanup runs even when exceptions fly.
- Handles cancellation and shutdown as first-class: a SIGTERM handler cancels tasks, every coroutine catches CancelledError, cleans up and re-raises, and cleanup itself gets a wait_for timeout so shutdown cannot hang.
- Catches the silent killers before production: PYTHONASYNCIODEBUG logs callbacks slower than 100ms, never-awaited coroutine warnings are escalated to CI build failures, ResourceWarning surfaces unclosed transports.
One power source. 6 lines out.
async-python-patterns · core
core active · 6 lines
- ✓ building async web apis
Building async web APIs with FastAPI, aiohttp or Sanic
- ✓ concurrent web scraping
Concurrent web scraping with rate-limited requests
- ✓ real-time websocket serv…
Real-time WebSocket servers and chat systems
- ✓ running many database and
Running many database and network calls in parallel
- ✓ background task queues and
Background task queues and producer-consumer pipelines
- ✓ migrating blocking sync
Migrating blocking sync code to non-blocking async
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
ai writing tool: subscription
expired · access lostanalytics suite: subscription
expired · access lostdesign platform: subscription
expired · access lost(nothing left)
Your forge
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Serve far more concurrent requests per server, cutting infrastructure cost
license: perpetual -
Eliminate event-loop blocking and the silent 'never awaited' bugs that stall production
license: perpetual -
Stop hammering external APIs and getting banned with proper rate limiting
license: perpetual -
Ship cleaner shutdown and cancellation so in-flight work never corrupts data
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
10 fundamental patterns from basic await to producer-consumer and async locks
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
Backend and platform engineers building I/O-bound Python services who need real concurrency without the classic asyncio footguns.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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My workload is CPU-heavy number crunching, will async speed it up?
No, asyncio wins on I/O-bound work where you're waiting on the network or disk, not on CPU-bound computation. For heavy CPU work you want multiprocessing; this playbook is for services that spend their time waiting.
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Doesn't the GIL stop Python from really running things concurrently?
For I/O-bound work the event loop interleaves thousands of waits on one thread, so the GIL isn't the bottleneck. You're not running Python in parallel, you're just not blocking on I/O, which is exactly what async is built for.
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Can I drop this into my existing synchronous codebase?
Partly, because async tends to be contagious, so calling into it from blocking code means bridging carefully or the event loop stalls. It's most straightforward when the service is async end to end, or sits behind a clean boundary.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.