AI coding startup Cognition is on track for $1 billion in annualized revenue based on its September performance, roughly double its run rate from about four months earlier. - Bloomberg

AI coding tools increase developer output. But growing pull request backlogs can easily overwhelm engineering teams, contributing to what’s known as “review fatigue.” Here’s how to calibrate your workflows for agentic development. Improve prompts, use stacked pull requests, and recognize how the developer role is changing.

AI coding tools optimize for one dev, not a whole org. Enterprise teams need governance across everyone. CodeRabbit Agent is now live in Slack code channels: full agentic SDLC, context, memory, and cost visibility, right where your team already works. Get started today.

AI coding saves you developer time. You get to decide what to do with that time. You can spend that time supporting multiple different codebases/languages. Or you can keep a x-plat framework and spend that time making your product better, optimizing your x-plat usage.

AI coding agents like Claude Code, Codex, Copilot, and Cursor can access repos, invoke tools, and connect through MCP. Prisma AIRS AI Gateway and AI Runtime Security inspect these interactions inline to stop threats, protect code and secrets, and enforce policy before risk becomes impact. Secure AI from prompt to action.

AI coding agents are stateless. Every session, same wrong turns. ArcticMem gives Snowflake CoCo persistent memory by extracting typed facts from successful sessions – the tribal knowledge nobody writes in a README. ADD/UPDATE/DELETE lifecycle keeps it clean. 47% → 73% overall pass rate. 18% fewer tool calls. Agents stopped chasing bugs that weren't bugs. 👇

AI coding agents might create an unexpected problem: More code. Less shared knowledge. If an engineer solves a problem through an AI agent, a lot of the reasoning can stay inside a private human-agent loop. No Stack Overflow answer. No GitHub discussion. No detailed issue thread. Sometimes not even a meaningful commit message. We may become dramatically better at producing software while becoming worse at producing the public knowledge that future engineers learn from. That tradeoff deserves much more attention.

AI coding agents now author Terraform, open changes, and trigger runs at machine speed. That loop was built for a human author. HCP Terraform is the managed control plane that governs every agent-authored run, anchoring context, enforcing policy, scoping identity, and keeping an audit trail. Learn more:

AI coding tools created a new kind of merchant. @bamazizimesh from @meshpay on Tokenized with @sytaylor and @nlevine19 said: “We're seeing a lot of transactions happening to parse APIs, to parse websites, at a different scale that requires a new type of payments which is global and can support micro-transactions.” On the trend Mesh is seeing how can stablecoins be useful to the economy of AI-powered builders. 🎙️ Listen to this episode on Tokenizedpod(dot)com