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1032 postsRejit: A Pure-Python Regex Engine Immune to ReDoS
Rejit is a pure-Python Pike VM regex engine with guaranteed linear-time matching, eliminating ReDoS vulnerabilities entirely. MIT licensed.
Designing a Coding Agent Loop: Goals, Verification, Stopping
How to design a coding agent loop: goal-check separation, a verification ladder, isolated attempts, and explicit stopping states.
Netflix's Real-Time Service Topology: Architecture and Lessons Learned
How Netflix built a real-time service topology system using streaming architecture, backpressure, and a three-stage aggregation pipeline.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comnebius-actions: Fine-Tune and Deploy LLMs via GitHub Actions on Nebius
nebius-actions is a GitHub Actions toolkit for fine-tuning and deploying LLMs end-to-end on Nebius GPU infrastructure using Axolotl and vLLM.
CodeGraph Turns Repos into Queryable Graphs to Predict Breakage
CodeGraph converts GitHub repos into a Neo4j knowledge graph, using GraphRAG and a blast-radius score to predict code change impact.
4 self-hosting failures that quietly report success
Four silent self-hosting failures — 200 OK pages, false healthchecks, empty backups, vanished WoL packets — and how to actually catch them.
How a Second Middleware Silently Broke Inngest's TypeScript Types
A deep dive into why stacking two Inngest middlewares silently collapsed step.run's TypeScript type to {} — and the actual root-cause fix.
kotlin-lib-mcp: an MCP server exposing real sources of any Maven library to AI
kotlin-lib-mcp is an open-source MCP server letting AI assistants read real Maven library sources, API surface, and KDoc directly.
ArborDb: a Rust document store with constant-time field reads
ArborDb is a Rust document store using zero-copy, offset-table blobs to give constant-time field reads regardless of record size.
MCP vs CLI: What Actually Survived in Production
A retrospective on MCP vs CLI for AI agents: token costs, lifecycle independence, containers, and a decision tree built from production failures.