Medium Reviews

Temporal Reviews

Medium mentions (3077)

• Ask HN: Who wants to be hired? (July 2026)

  Io_uring, concurrency, TCP, mmap, systems programming Résumé/CV: https://drive.google.com/file/d/1dQrgGxvun68WMty-m7A-wsR7KF3gxKdU/view?usp=sharing Email: ashishrathour1102@gmail.com GitHub: https://github.com/AasheeshLikePanner Backend and infrastructure engineer focused on systems programming in Go. I build low-level infrastructure from scratch and benchmark it honestly. Recent projects: vase — a pub/sub broker... - Source: Hacker News / 4 days ago

• GLM5.2 on AMD MI355X at 2626 tok/s/node at over 2x lower cost than Blackwell

  Not a new phenomena - performance per dollar has been fairly steadily exponentialling since 1900 or so 1900 - 2010 https://www.thekurzweillibrary.com/exponential-growth-of-computing 1939 - 2023 https://medium.com/@timventura/kurzweils-law-for-the-ai-age-b00e82c84d5c. - Source: Hacker News / 2 days ago

• The Egg Bandits Made a Thousand Times the Fine They Just Paid for Price Fixing

  QB House and its many imitators would like a word. It's a genuine mystery to me why these "fast haircut" chains are ubiquitous in Asia but unknown in the West. https://medium.com/@justin.tan/qb-house-back-to-basics-business-model-innovation-in-the-mens-haircutting-industry-c23893095e13. - Source: Hacker News / 3 days ago

• Fable 5 Is Back

  It has. We can see 3.5 started with text adventure games https://medium.com/@duncanariey/using-chatgpt-to-make-the-ittiest-bittiest-text-based-adventure-game-f642e8da4dad and with 4.0 it moved up to pong https://x.com/skirano/status/1635736107949195278 As the generations increase, so too has the complexity of the games it can one-shot. - Source: Hacker News / 4 days ago

• Ask HN: Who wants to be hired? (July 2026)

  Location: San Diego, CA Remote: Yes Willing to relocate: Maybe. Technologies: I'm a full-stack growth marketer with enough coding chops to prototype MVPs. Worked in the blockchain sector for the past 7 years and would like to transition into an AI-enabled consumer product. Some of my writing (before AI/LLMs) straight from the dome: https://medium.com/@dilanka Resume/Work: https://tinyurl.com/bdzez9cv Email:... - Source: Hacker News / 4 days ago

Temporal mentions (15)

• Compiler as Custodian

  Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / 14 days ago

• How we turned our workflow editor into a real SDK

  We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 1 month ago

• Three days debugging a missing trace

  The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 3 months ago

• 50 Lines of TypeScript to Automate Any Website with AI

  The core is a browserclaw agent loop wrapped in a Temporal workflow. The AI navigates to your provider's payment page, identifies form fields from the snapshot, fills in your payment details, and submits. Every successful payment generates a "biller skill" — a playbook that makes subsequent payments to the same provider faster and more reliable. - Source: dev.to / 4 months ago