Tag
Lathe is an open-source tool that generates hands-on, multi-part technical tutorials from any prompt using LLMs, aiming to teach users rather than just provide answers. It includes a local UI for working through tutorials and supports integration with Claude Code, Cursor, and Codex.
A follow-up blog post from elttam covering new Go language features that improve security, problematic coding patterns (footguns) discovered during code audits, and accompanying Semgrep rules to catch them.
RiskKernel is a self-hosted, single Go binary that enforces hard per-run budgets (cost, loop count, wall-clock), kill switches, and human approval gates for AI agents, supporting Anthropic and OpenAI providers with no telemetry.
This article explains how Go handles experimental features, their lifecycle, and examples of recent experiments.
Athena is a lightweight Change Data Capture (CDC) tool that streams changes from Microsoft SQL Server to Apache Kafka. Built in Golang, it offers simpler setup than Debezium and automatically manages CDC configurations.
This article explains how to use Go's net/http/httptrace package to trace HTTP request phases (DNS, connection, TLS, etc.) via context-based hooks, and demonstrates building a CLI trace tool and a RoundTripper logger.
The post argues that AI code generation for Go is more effective when the tool understands the organization's internal codebase and conventions, leading to higher acceptance rates and fewer edits needed.
The article explains the singleflight pattern in Go, which eliminates redundant concurrent calls to expensive operations by ensuring only one call is in flight at a time, sharing results among all callers.
NanoTDB is a small embedded append-only time series database for resource-constrained hosts, written in Go, with no runtime dependencies. It uses a WAL and partitioned data files, supports line protocol ingestion, and provides efficient time-range queries.
Google has released ADK for Go, an open-source Agent development framework, designed to build AI agents through software engineering principles, supporting code-first approaches, model-agnosticism, and cloud-native deployment.
The author built a benchmark harness to evaluate local LLMs for autonomous Go code generation, focusing on log parser generation for SIEM pipelines, and published results comparing quality vs. speed.
An opinionated developer essay advocates for the Go programming language, emphasizing its straightforward syntax, robust standard library, efficient concurrency model, and single-binary deployment as practical alternatives to overly complex modern technology stacks.