Slack Code brings AI coding agents into shared team channels 🛠️👥
TL;DR
Slack launched Slack Code, a feature that creates dedicated code channels where AI coding agents work visibly alongside the entire team. The initial release integrates with Claude, Devin, GitHub Copilot, ChatGPT, and Vercel's agents, with open APIs planned for custom agents.
Key Takeaways
Slack Code creates project-specific code channels that show the agent's conversation, plan, code diffs, and live previews in real time.
Five agents ship at launch: Anthropic's Claude, Cognition's Devin, GitHub Copilot, OpenAI's ChatGPT, and Vercel's agents.
Non-technical team members (product managers, designers) can follow work and give feedback without opening a terminal.
Engineers retain final review and approval before any code merges to production.
Completed channels archive with full history intact, creating an automatic audit trail.
Why It Matters
The biggest friction with AI coding agents today is visibility. The developer and the agent disappear into a silo, and the rest of the team only sees the output. For startups and small teams where a single product manager wears five hats, that opacity creates bottlenecks: someone has to translate what the agent did into something the team can evaluate.
Slack Code moves the entire agent workflow into a space the team already inhabits. This matters most for early-stage companies where cross-functional collaboration isn't a luxury, it's the default operating mode. If the API opens as promised, founders running custom agents on LangChain or n8n can plug them into the same shared context without building bespoke dashboards.
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📰 In the News
Headlines & Launches 📣
Replit launched Free Mode for Core and Pro subscribers, powered by OpenAI's GPT-5.6 Luna. The feature lets users brainstorm and complete everyday dev tasks without consuming AI usage credits. When a task requires deeper reasoning, Replit automatically routes to GPT-5.6 Sol. Founders building internal tools report that removing "token anxiety" changes behavior: teams explore more, iterate more, and ask follow-up questions they would otherwise skip.
SpaceX, in partnership with Nvidia, has designed a space-optimized Vera Rubin NVL72 system for launch to orbit in Q4 next year, with significant scale planned for 2028. The move signals that frontier AI compute infrastructure is no longer confined to terrestrial data centers.
Research & Innovation 🧪
A new benchmark called SUSVIBES tested 12 agentic coding setups across 186 real-world tasks. The sharpest finding: SWE-Agent paired with Claude Sonnet 4 produced functionally correct solutions 57% of the time, but only 11.8% of those were actually secure. Adding explicit vulnerability hints to prompts did not meaningfully improve outcomes. For any founder shipping AI-generated code in production, especially in fintech or infrastructure, this is the security baseline to measure against.
Marketing & Sales 🤑
A Forbes analysis counted roughly 10,000 marketing roles eliminated, with Forrester projecting 15% of agency jobs vanishing during 2026. The work disappearing first is templated: ad copy drafts, keyword grouping, reporting decks. The counter-signal: companies adopting AI most aggressively grew entry-level headcount by 12%, and Brainlabs expanded entry-level hiring by 237% between October 2023 and April 2026. Budget that used to cover coordinator salaries now funds fewer, higher-leverage roles.
Miscellaneous 🎁
Best Lawyers, a 40-year-old attorney ranking service, enabled 40% of its non-technical staff to build live production apps in under an hour. CEO Phillip Greer and SVP Elizabeth Petit described the governance model, what broke along the way, and how they handle what they call the "AI Vampire Problem." The case study is a practical blueprint for any founder considering no-code internal tooling at scale.
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