Apollo 11 Guidance Computer Source Code for Command and Lunar Modules Now on GitHub

·1 views

The original source code for the Apollo 11 mission's guidance computers has been made publicly available on GitHub. The repository covers the software used in both the command module and the lunar module during NASA's historic 1969 Moon landing. The code was digitized and preserved to provide insight into the programming that guided astronauts to the lunar surface and back. This release allows developers, historians, and space enthusiasts to explore the actual software behind one of humanity's greatest achievements.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Audit of 36 MCP servers finds a third failing AI agents due to poor documentation

A developer who integrates MCP connectors into production AI agents built a tool called mcpgrade to audit the quality of Model Context Protocol servers beyond basic spec compliance. Scanning 36 popular servers revealed that 11 — including official offerings from MongoDB, Notion, Airtable, and GitHub — scored D or F grades. The dominant failure was rule D004: parameters lacking descriptions, with firecrawl logging 132 such errors out of 134 total and todoist hitting 110. Most failing servers auto-generate schemas from Zod or OpenAPI definitions without adding human-readable descriptions, leaving AI models unable to correctly select or call tools. The author argues that adding parameter descriptions is the single highest-leverage fix developers can make to improve agent reliability.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

AI Bubble Fears Are Real, But Professionals Can Still Prepare and Adapt

AI has moved well beyond research labs and is now embedded in industries ranging from healthcare and finance to marketing and software development. While the technology delivers genuine productivity gains, analysts warn that valuations, infrastructure spending, and business promises may be outpacing actual adoption and profitability — classic signs of an investment bubble. Experts note that AI typically eliminates specific tasks rather than entire professions, with repetitive, rules-based, and text-heavy roles facing the most near-term disruption. To stay relevant, professionals are advised to build skills in AI literacy, data interpretation, workflow design, and responsible AI governance. Emerging regulatory frameworks such as the EU AI Act and NIST AI Risk Management Framework are also creating new career paths in AI auditing, model risk, and human-in-the-loop operations.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

JavaScript Core Concepts Explained: Variables, Closures, Scope and More

A developer learning guide published on DEV Community breaks down essential JavaScript fundamentals covered in a third-week study session. The article explains key concepts including variable declarations using var, let, and const, hoisting behavior, and how the JavaScript engine processes code through execution context and the call stack. It also covers lexical scope and the scope chain, describing how inner functions can access variables from their outer functions, a mechanism that enables closures. Additional topics include the this keyword, and clean coding principles such as DRY and KISS. The guide is aimed at beginner developers seeking to understand what happens behind the scenes when JavaScript code runs.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Zod 4 Rewrites TypeScript Schema Validator With Faster Parsing and New APIs

Zod 4, a ground-up rewrite of the TypeScript-first schema validation library, was released as a stable major version in 2025 and requires TypeScript 5.5 or newer. The release delivers significant performance improvements, including reduced TypeScript compiler instantiations and faster runtime parsing, which benefits large codebases. Key API changes include string formats moving to standalone top-level functions like z.email() and z.url() for better tree-shaking, and four separate error options consolidating into a single error parameter. Error formatting has also shifted to three standalone helpers — z.flattenError, z.treeifyError, and z.prettifyError — while object strictness methods were renamed to z.strictObject() and z.looseObject(). Deprecated Zod 3 APIs continue to function with warnings, allowing developers to migrate their schemas incrementally rather than all at once.

0 comments Read more at DEV Community