TypeScript Articles

Benchmark: TypeScript 5.6 vs. Flow 0.230 for Large-Scale React 20 Codebases

In 2024, large-scale React codebases (100k+ LOC) saw a 42% year-over-year increase in type-related production incidents, according to our analysis of 127 enterprise GitHub repositories (https://github.com/enterprise/react-codebase-metrics). Choosing between TypeScript 5.6 and Flow 0.230 is no longer a preference—it's a $200k+/year operational decision for teams managing 500k+ LOC React 20 applications. Talkie: a 13B vintage language model from 1930 (193 points) Microsoft and OpenAI end their

Dev.to TypeScript

Streaming ETL engine for TypeScript/Node for large files

Hi everyone, I've been working on a project called Data-Genie. I built this because I was tired of OOM (Out of Memory) errors in my ETL jobs whenever a file got larger than a few hundred MBs. It's a streaming-first engine that keeps a constant memory footprint (~15MB) regardless of whether you're processing 100KB or 100GB. Key Features: File Sources and Destinations: Local, AWS S3, SQL DBs Multi-format: CSV, JSON, NDJSON, Excel, Parquet, and SQL. Validation, filtering, and mapping, aggre

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Building H.U.N.I.E.: A Persistent Memory Engine for AI Agents

I built H.U.N.I.E. because every AI system in production today has the same fundamental flaw: they forget everything between sessions. Each conversation starts from zero. Each task begins without context. No matter how sophisticated the model, without persistent memory that can be verified and updated, AI agents cannot pursue long-term goals, self-correct over time, or operate autonomously. H.U.N.I.E. — Human Understanding Neuro Intelligent Experience — solves this foundational problem. It's the

Dev.to TypeScript

The Proxy Problem: When Your Build Passes But Your Geography Fails

This is part of an ongoing series about building and monetizing Korean data scrapers on Apify. This post continues from #47: Korea's #1 Real Estate Platform Has No Official API — So I Built a Scraper. Then Got Blocked. The build took about four hours. The code was clean. The Actor ran locally, returned exactly the data I expected, and passed every test I threw at it. I deployed it to Apify, clicked Run, and waited. net::ERR_CONNECTION_CLOSED Not a bug. Not a logic error. The scraper was working.

Dev.to TypeScript

🚨 The "Context Window" is Dead: Anthropic Just Gave Claude Agents Permanent Memory

If you’ve been building with AI over the last year, you know the absolute biggest bottleneck in agentic engineering: The Goldfish Problem. You spend hours crafting the perfect system prompt. You deploy your AI agent to handle a complex task. It does a great job. But the second that session ends? Poof. The agent forgets everything. To fix this, developers have been duct-taping together complex Vector DBs, RAG pipelines, and rolling context windows just to give their agents a basic sense of objec

Dev.to TypeScript

🔮 PRISM - AI-Powered Edge Orchestration & Distributed Inference

Deploy ML models at the edge with real-time sync, automatic conflict resolution, and zero downtime. Built for 2026. In 2026, 80% of AI inference happens at the edge—not in cloud data centers. But existing tools weren't built for distributed edge inference: ❌ Cloud-only: Latency-sensitive apps need sub-10ms responses ❌ Fragmented: ONNX, TensorFlow Lite, GGLM - no unified interface ❌ Offline-first gaps: No automatic sync when reconnecting ❌ No conflict resolution: Concurrent edge updates cause inc

Dev.to TypeScript

Learn React 2026 Roadmap: Skills, Projects, Stack

If you’re searching for a learn react 2026 roadmap, you’re probably feeling two things at once: React is still everywhere, and the “right way” to learn it keeps shifting (server components, modern routers, TypeScript-by-default). This roadmap is built for online learning: focused milestones, real projects, and a modern React stack you can actually ship with. React in 2026 isn’t “components + hooks” and call it a day. The ecosystem expects you to be comfortable with: Modern React rendering: clien

Dev.to TypeScript

Three Ways to Convert JSON to TypeScript. Only One Is Deterministic.

There are three ways to turn a JSON response into TypeScript interfaces. You can write them by hand, you can ask an LLM, or you can run the JSON through a deterministic converter. I've used all three. Two of them have failure modes that most people don't think about until they ship a bug. Writing interfaces by hand works when you have three fields. It stops working around field fifteen. A Stripe charge object has 40+ properties. A GitHub pull request response is over 100 fields deep once you cou

Dev.to TypeScript

TanStack Router-style end-to-end inference for TypeScript CLIs

Every time I build a CLI in TypeScript I end up with Commander or yargs option configs in one place and a parallel set of types I maintain by hand. They drift. Stricli gets a lot closer, but full type safety still doesn't carry across commands the way I wanted, and extending the context class got annoying fast. I got tired of all of it and built parsh. It's a file-based CLI router inspired by TanStack Router. Same idea, but for CLIs: the path string is the source of truth for params, schemas de

Reddit r/typescript

I found 901 software developer jobs that mention TypeScript

Built this job aggregator for the purpose of finding myself a job, and I've been slowly increasing the amount of companies it gathers from as well as supported filters. Realized that I've got about 900 jobs that cater to applicants who know TypeScript. Been enriching the postings with structured fields like technology, workplace type (remote/onsite) and more. Happy to implement further filters if needed. Check it out here submitted by /u/Chucki_e [link] [comments]

Reddit r/typescript

How to keep FastAPI and Next.js types synced (without leaking your database schema)

Let's talk about the "full-stack boundary." If you're building a modern web app with a Python backend (FastAPI) and a TypeScript frontend (Next.js/React), you know the pain: keeping your types in sync. You add a new field to a Pydantic model, you deploy, and ten minutes later your frontend crashes because the Zod validation schema wasn't updated. It's a manual, error-prone process. The usual move is to Google "Pydantic to Zod," click a link, and paste your code. This is a security risk. Your Pyd

Dev.to TypeScript

New skill: cli-building. For shipping clean TypeScript CLIs fast.

Just dropped this one. If you've been wanting to spin up a TS CLI without spending a weekend on argument parsing, help output, and making it not look like trash, point your AI here. Install: npx skills add damusix/skills --skill cli-building Repo: https://github.com/damusix/skills Skill page: https://skills.sh/damusix/skills/cli-building Lmk what you think. Honest feedback, por favor. submitted by /u/alonsonetwork [link] [comments]

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