Quality went up alongside output. Even with more PRs shipping, total incidents dropped 5%. They built security guardrails and quality standards into the agentic workflow itself. Productivity vs quality is sometimes framed as a tradeoff. They're not seeing it.
CODE
-
Salesforce: Claude Code Agents Cut Migration Time 95%
By
–
Salesforce published a detailed writeup on going agentic with Claude Code. A couple things jumped out. A migration they'd scoped at 231 days shipped in 13. One PR delivered 21 endpoints at 100% test coverage.
-
Organizations continue adopting agentic AI for coding despite token concerns
By
–
The hand-wringing over token usage is real, but I don’t see any organization that has adopted AI retreating from use in coding or even considering it. We are a few months into agentic coding, and companies are trying to experiment with approaches to balance adoption & efficiency
-
Reconstructing Software Engineering for AI-Driven Coding
By
–
Reconstructing software engineering around AI is going to take work (even as the ability of AI to code increases at a rapid rate). Organizations are ideally spending tokens for two things:
1) building stuff
2) experiments to figure out best practices (which involves failure) -
Prompt: Grill the AI to defend code changes
By
–
2. The Grill After Claude says it's done, don't trust it. Make it defend the work: "Grill me on these changes. Diff your work against main, find every assumption you made, every edge case you didn't handle, and every place this could break in production. Don't open a PR until
-
Plan-first prompt for feature development
By
–
1. Plan-First Lock Before any feature, paste this: "Before writing any code, explore the relevant files and explain your plan for [feature]. List the files you'll change, the approach for each, and any edge cases you see. Do not write a single line until I approve the plan."
-
Salesforce AI spending signals SaaS disruption from coding AI
By
–
Salesforce dit prévoir de dépenser 300 M$ en tokens chez Anthropic en 2026. Mon analyse, ce n’est pas qu’ils font bien les choses ou que c’est la preuve qu’ils innovent. C’est surtout qu’ils n’ont pas le choix. Le modèle des SaaS est plus menacé que jamais. Avec l’IA qui code
-
Visualization of all humans generated by Opus 4.8 in Claude Code
By
–
How lucky are you to have been born when and where you are? Had Opus 4.8 in Claude Code whip up a new visualization of all humans who ever lived. In addition to being neat, it is an interesting test of combining research, code, design and stats for an AI. https://
veil-of-history.netlify.app -
Shader test as a measure of AI coding capability
By
–
Except a shader like this is a very good measure of model capability because of the technical difficulty of building this sort of code. It translates to other coding as well. Feel free to see my many other tweets and substack posts (& book) about AI applications in businesses.