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)
SOFTWARE
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Reconstructing Software Engineering for AI-Driven Coding
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OpenAI Codex introduces Side Conversions in ChatGPT for side questions
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OPENAI : Codex in ChatGPT now supports Side Conversions, allowing users to ask side questions without disrupting the main thread. /Side testing
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System built with Codex due to Claude’s mistakes
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nah, it’s built with codex. Claude makes too many mistakes.
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Plan-first prompt for feature development
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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."
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Codex wins benchmarks that reflect real software engineering
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codex ofc. The one that wins the benchmarks that reflect real software engineering.
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Explee launches AutoGTM AI sales agent for personalized cold emails
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Explee launched AutoGTM, a 24/7 AI sales agent that reads your website, maps your ideal customer profile, finds matching buyers across 105M+ companies, and sends personalized cold emails.
— 🚨 AI News | TestingCatalog (@testingcatalog) 29 mai 2026
Get started with $50 in free credits 👀https://t.co/4unx8s1ZcT
It’s composed of seven… pic.twitter.com/JCgbxE5emtExplee launched AutoGTM, a 24/7 AI sales agent that reads your website, maps your ideal customer profile, finds matching buyers across 105M+ companies, and sends personalized cold emails. Get started with $50 in free credits https://
explee.com/auto-gtm/x/an1 It’s composed of seven -
Token allocation, not model, drives multi-agent AI performance, study finds.
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80% of multi-agent performance variance is just token allocation, not the model. That's from a UC Berkeley paper that decomposes any AI agent into 6 components: model, memory, context, skills, orchestration, verification. The model is one. The other 5 are where the gains
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AI Tool Demonstrates Precise Object Color Change in Video Editing
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haven’t seen any video tool pull this off
— Nico (@nicos_ai) 29 mai 2026
i filmed a guy playing with a red ball and asked aleph 2.0 to make it green on @runwayml
only the ball changed color
his movement, the bounce and the background stayed exactly the same
this is where “regenerating everything” and… pic.twitter.com/4ZHHUtzdjbhaven’t seen any video tool pull this off i filmed a guy playing with a red ball and asked aleph 2.0 to make it green on @runwayml only the ball changed color
his movement, the bounce and the background stayed exactly the same this is where “regenerating everything” and -
Anthropic criticized for failing to lower API costs
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Has @AnthropicAI completely given up on making API usage reasonably-priced? Following the token-usage changes recently they announced various updates to *subscription* usage to make it more reasonable. But they've done NOTHING for API users. The cost is insane at this point.