backend

Backenly launches as an autonomous backend platform designed to support AI coding agents, handling backend infrastructure and orchestration automatically.

The author argues that while AI agent demos are simple (model + tools + loop), production agents require a robust backend covering auth, persistent data, vector search, permissions, retries, and LLM usage tracking, and describes building Singlebase as that agent-ready backend with MCP access.

Supabase raised $150 million at a $10.65 billion valuation, with over 13 million developers using it as an app backend and 70% of new databases now created by agents or AI-driven tools.

Firezone details why it abandoned the leading directory sync standard to build its own custom engine, covering how users, groups, and members are synced from identity providers like Entra, Okta, and Google. The post explains the design challenges of keeping app-side copies of an organization's directory fast and consistent.

This blog post details the complex process of syncing the Rust GCC backend repository with Rust's main repository using git subtree, and the many issues that arose, illustrating Murphy's law.

Supabase is an open-source Postgres development platform offering a hosted database, automatic API generation, authentication, and AI tools, earning over 109k stars on GitHub for its efficiency and comprehensiveness.

Appwrite 2.0 is the second major generation of the open-source cloud platform for developers and agents, featuring a rebuilt engine, relational and schemaless data support, native PostgreSQL and MySQL engines, S3 storage, and a standards-compliant identity provider.

Oberik is a free backend and SDK launched to address common infrastructure challenges in building AI agent systems, such as document handling, multi-tenancy, and security, and is now open for developer testing and feedback.

Tencent CloudBase adds PostgreSQL support, letting AI coding agents spin up isolated databases with a single prompt, with SQL-declared permissions and row-level security.

An engineer reflects on repeatedly building webhook integration systems, detailing the hidden complexity of signature verification, deduplication, buffering, and reconciliation crons, and argues that webhook notifications are not a reliable substitute for a complete ordered data log.

Storecraft is an open-source TypeScript/JavaScript monorepo for building headless e-commerce backends, offering modular adapters for runtimes, databases, storage, payments, email, AI, and authentication, along with a built-in AI agent for chat-based shopping flows.

JavaGuide is a practical open-source GitHub repository for Java backend interview preparation, covering core Java, system design, and common interview questions.

A comprehensive guide explaining OAuth 2.0 concepts from the ground up, covering authorization code flow, tokens, PKCE, and more for backend developers.

A developer shares a repeatable workflow for building full-stack SaaS products with backend, auth, Stripe billing, and AI features in under a day using Lovable Cloud.

ExecuGraph is a multi-agent framework for backend code synthesis that leverages execution-based validation and six specialized agents to improve reliability, showing gains particularly with more capable models like DeepSeek-Coder-V2-Lite.

Tested the updated Gemma 4 locally using llama.cpp on an M5 Pro, achieving 60 tokens/s for coding tasks with OpenCode; good for backend but poor for UI/UX.

Julia Evans shares her positive experiences with Django's query builders and template filters while building a backend-focused website, praising their readability and convenience.

A backend service for AI agents offering memory, storage, and semantic search with a single command, along with a $10,000 contest for the best application built on it.

An open-source OAuth 2.0 authentication server you can host yourself, supporting Google, GitHub, email login, custom providers, and modern deployment platforms. It's recommended for backend engineers to learn how modern auth systems work.

A technical blog post exploring the hidden complexity of job queues, discussing why they are deceptively tricky and offering useful lenses for system design such as being wary of queues, limits, and fault models.