Scott Fryxell describes an AI coding harness that lets Cursor, Claude, and Pi share instructions, skills, and an AGENTS.md file across terminal-based interfaces. He argues that this shared operating environment matters more than any individual model and says it has reduced his concern about switching from Cursor to Codex. His current setup uses two $20 subscriptions, Cursor and Claude, with Pi added for other models. Fryxell uses DeepSeek-V4-Flash-0731 for maintenance and simpler work, reserving frontier models and Anthropic API budget for complex features, refactors, and promotion tasks. His workflow separates work into explorer, planner, worker, critic, and promoter roles. Planning produces an explicit directed acyclic graph of tasks; a worker implements nodes, a critic reviews and may send work back for revision, and a promoter prepares communications about completed work. He says this cut his use of Fable by 75 percent in intensive work. The harness contains scripts, prompts, plans, skills, extensions, artifacts, and checked-out work repositories. It can control his poster-making web app through headless Chrome, including an npm command that generates an animation from an MP4. Fryxell says a government ban on Fable and signals of industry control made diversifying model access urgent, leading him to rely more heavily on Pi and Chinese models.

Linear’s aggregated data from paid workspaces shows AI use spreading across software-team functions and correlating with higher software-development activity through 2026. From January to June 2026, the share of users active on Linear AI features more than doubled in every measured function: product rose from 12% to 34%, engineering from 12% to 30%, design from 6% to 22%, and go-to-market from 5% to 18%. Adoption was similar across company sizes, while CEOs at companies with 201 or more employees increased from 9% to 36%. These figures cover AI interactions inside Linear, including in-app and Slack conversations and agent sessions, rather than all AI use. AI agents and MCP created 2.435 million Linear issues in the week of August 3, 2026, compared with 2.481 million created by people and integrations. Pull requests opened per workspace were 111% above the June 2024 baseline by June 2026. In a fixed cohort, workspaces connected to coding agents rose from 21 to 65 pull requests per team per week over two years, while teams without a connected agent rose from 8 to 10. The share of product users attaching pull requests increased from 3% in June 2024 to 10% in June 2026, and designers rose from 1% to 8%. Linear found that time spent on existing coordination work generally increased or held steady, while AI chat and agent work added new activity; it does not measure whether the added output produced positive business outcomes.

AGI-64 is an AGI interpreter for the Commodore 64, currently 75% complete for Space Quest 1, which is fully playable. The interpreter supports most standard AGI operations and will be available as a free download upon completion.

Large pull requests (PRs) can complicate the review process, making it difficult for maintainers to manage code changes effectively. Smaller PRs are preferred for their ease of review, benefiting both the reviewer and the overall development workflow.

Creating software involves significant challenges, including extensive coding and troubleshooting. Many developers face the struggle of transforming an idea into a functional program, often spending considerable time on development.

Cooking a steak requires minimal skill, involving basic steps like placing it in a hot pan, flipping, and waiting. Achieving a consistently good steak, with proper browning and seasoning, demands more expertise and attention.

Software development has become highly accessible, allowing users to describe ideas in plain English and receive a working prototype within minutes. These prototypes feature user interfaces, database connections, and functionality as envisioned, although they may not perform reliably under heavy load.

Stacked pull requests are now in public preview on GitHub, allowing users to break large changes into smaller, reviewable pull requests. This feature enables independent review of each pull request in a series, facilitating easier merging of changes with a single action.

Refactoring can lead to significant economic benefits in software development by improving code quality and maintainability. A sophisticated application was developed to support agentic engineering, featuring a high-quality web UI, dynamic updates, external system integrations, and machine learning capabilities.

Micro-SaaS is being replaced by service-oriented software that focuses on private tools designed for specific tasks. These tools can outperform paid alternatives without the intention of being sold or generating recurring revenue.