125 stories
Every team says the same few things to its coding agents: run the checks this way, follow these conventions, don't touch that without asking. A prompt pack puts those sentences in one file. This post shows one written by Claude Code from a real repository, start to finish, and what I did with it.
Instantly.ai shows up in nearly every "best cold email tool" list, and for good reason: unlimited sending accounts and built-in warmup on every plan is a genuinely useful pitch. But most reviews stop at the feature list and the pricing page.
Rust does not have a shortage of good crates. There is uuid for identifiers, chrono for time, rust_decimal for exact decimal arithmetic, serde_json for JSON, and reqwest for HTTP. The challenge in application development is often not finding a capability.
Most AI writing tools still assume the same workflow: Stop writing Copy the sentence Open a browser tab or side panel Ask for a rewrite Read three versions Paste one back Fix the tone so it sounds like you again That is fine for long documents. It is terrible for everyday writing.
For the first month of running cold outreach for my own project, my open rates looked fine on paper and my reply rate was basically zero. Sequences were solid, subject lines tested well, copy was short and personalized. Everything the "best practices" posts tell you to fix — I'd fixed.
I joined an AI degree to build neural networks, train models, and ship cool stuff with modern tools. Instead, my professor is making me print “Hello World” in C, wrestle with pointers, and manually manage memory like it’s 1985.
When people hear MVP development services, they often think it's just about building a basic version of an app. In reality, a good MVP is about answering one question: Will people actually use and pay for this product?
If you run AI coding agents for hours at a time, the question is where the work runs and how you get back to it. Several tools cover this now, with different answers. Here is a short map. Disclosure: I am on the Clusto team, so weigh this accordingly.
Translation APIs increasingly expose more than a single translate endpoint. Microsoft’s 2026 Translator migration guide documents a choice between neural machine translation and a supported LLM by request.
Creating videos regularly can become time-consuming when every project requires scripting, planning, visuals, captions, voice, and formatting. A tool like Text to AI Video Generator can help organize several of those steps in one place, making the workflow easier for creators who want to move from…
If AGI is here, where are the world-changing economic results? People usually point to AI hallucinations or stubborn resistance to new technology. I think the unit of analysis is wrong. Humans already possess general intelligence. A large company employs thousands of them.
OpenAI just dropped a massive hint at what the future of everyday office work actually looks like. Meet Dots. Dots is OpenAI's newly unveiled enterprise-focused agentic product, seamlessly embedded right inside the familiar ChatGPT interface.
Breaking news from the chip world: DeepSeek and Huawei just joined forces, and the target is nothing less than one of tech's biggest fortresses. Here's the simple version. To train any AI model, you basically need CUDA, a programming layer that's essentially owned by Nvidia.
Why Live SAP Demonstrations Tell a Different Story Vendor demonstrations often present SAP capabilities in ideal conditions: clean data, familiar processes, prepared examples, and a specialist who knows exactly which option to select.
Many dev tools label themselves local-first while secretly pinging remote endpoints for telemetry, grammar downloads, or license checks. When building TokenCap, we decided that security guarantees should not depend on developer discipline. They must be enforced by automated tests in CI.
AI chat assistants sound just as sure of themselves when they're wrong as when they're right. Asking "are you sure?" doesn't really help. You mostly get the same guess, worded more politely.
Why Autonomous SRE Needs Episodic Memory: How We Built Opsight with Hindsight Every on-call engineer knows the sinking feeling of getting paged at 3:14 AM for a SEV-1 outage that feels eerily familiar, yet nobody can remember which config flag or database lock script resolved it last time.
Showing 125 of 125 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news from Dev.to AI
Join 15,000+ AI enthusiasts
