Curated signals for developers. Updated hourly.
Hiring your first developer is the most expensive decision a non-technical founder makes blind. Not because the salary is large - because you have no way to check the work, no way to check the interview, and no second engineer to catch the first one'
Sooner or later a backend has to answer a hard question: is this fingerprint the same person we enrolled earlier? An attendance system, a KYC check, an agent verifying a customer, a high-security login. It feels like deep, vendor-only territory, the
Meet Daniel. He has been learning to code for months. He can follow a React video without getting lost. He understands what the instructor is doing. His notes are organised. His GitHub has a few projects that look finished. Then he opens a blank fold
If you can cat a file, you can read the knowledge base. If you can git clone a repo, you can ship it. No vector database to stand up, no proprietary export format, no vendor lock-in - just a directory of markdown files with YAML frontmatter that a hu
Browser-capable agents have gone from research demos to something you can wire up in an afternoon. If you've wanted an AI agent that actually clicks, reads, and navigates - not just simulates it - Playwright MCP is the practical path right now. The S
Docker makes deploying applications easy. It doesn't automatically make them secure. When I deployed my first Docker application, security wasn't my top concern. The container is isolated. HTTPS is enabled. SSH access is restricted. Everything seemed
How to design, ship, and operate an AI agent that is reliable, efficient, performant, scalable, and secure enough to serve real companies - from a 5-person startup to a 50,000-person enterprise. This guide distills hard-won lessons from production ag
Clear a corner of your workbench and gather a handful of parts, because this palm-sized television is an afternoon build, not a semester project. Here is the shopping list for a Scanwheel of your own: A Raspberry Pi Pico to run the show An A4988 step
Selling a subscription inside a mobile app is one of the most demanding things you can build: StoreKit on iOS, Google Play Billing on Android, server-side receipt validation, renewals, refunds. Or, on our platform, one toggle. This post explains what
TL;DR: The free tier cap isn't an inconvenience - it's a trap.A mid-traffic side project running into a bad deploy can exhaust Sentry's hosted event quota within the first hour of the incident. 📖 Reading time: ~16 min What's in this article Why Sentr
We needed GPS coordinates for 14.4 million French business establishments to power radius-based searches. Here's the pipeline we built - free, no third-party services, and designed to run daily alongside a live application without ever locking the da
Most teams building AI agents treat manual override queues as a last resort, a safety net for when the agent goes off the rails. That view keeps agents locked in read-only mode on anything risky. The real insight is the opposite: a well-designed AI a
One day, my AI agent tried to delete the secrets of my infra. It wrote the Terraform command. It ran it. Nothing happened. Not because it changed its mind. Because my Terraform only applies through the pipeline, never locally. And because it has no a
With payment webhooks, “almost unchanged” is not unchanged enough. A real payment webhook passed through an intermediary delivery service and still verified at the final handler. Here is what that proves-and what it does not. Recently, a payment webh
Your JavaScript frontend needs a list of featured products from WordPress. Not the whole REST API surface, not raw post objects with forty fields, just the ten items the homepage carousel shows, shaped the way the frontend wants them. The endpoint is
Deploying an application to Kubernetes is easy to demonstrate with one command: kubectl apply -f . The harder question is what happens after the first deployment. How do you know which commit is running? How do you enforce code-quality checks? How do
Building an AI Support Inbox for How WhatsApp Teams Actually Work Most customer-support software starts from an email-shaped assumption: messages arrive one at a time, belong to one person, and wait patiently in a queue. WhatsApp does not work like t
There is a strange phenomenon in the Python world. People train neural networks, automate infrastructure, write complex tools and maintain applications for years while still having very little understanding of Python virtual environments. I'm not ent
A game called Pathogenic launched on July 16. It's a roguelike where you play as a parasite inside the human body. By launch day, I had a full wiki for it live: guides, databases, patch notes, the works. I'm not a developer. I'm a product manager. I
Originally published on aniljaiswal.com . The GitOps demo is gorgeous. One repo, one app, one cluster. You change a value in Git. A few seconds later, the cluster changes to match. Production is a commit hash. Rollback is a git revert. Everyone in th
Agentic AI has quietly broken a lot of assumptions that data governance teams spent the last decade building. When an application was a monolith talking to a regional database, "data residency" meant picking the right Cloud SQL instance and locking d
A follow-up to I built an AI dev harness that isn't allowed to trust itself . The harness I wrote about isn't allowed to trust itself. That was the whole point, and it rested on one sentence: nothing an agent produces closes without machine-checkable
The Hidden Vulnerability in Multi-Agent Chains The biggest architectural risk in enterprise AI today isn’t prompt injection-it’s Delegation Escalation . When a human user triggers an AI Agent Orchestrator, which then delegates tasks to sub-agents and
Most Django applications are request-response. A user does something, the browser sends a request, Django processes it, returns a response, done. That model works for 90% of what web applications need to do. The other 10% - live dashboards, notificat