According to @claudeai, the Code with Claude developer conference hits Tokyo with sessions on Claude Code and livestream registration open.

According to @bcherny, Claude Code now favors auto mode, uses routines to preempt bugs, and enables phone-first coding, per Anthropic’s developer talk.

According to @godofprompt, Step Plan with step 3.5 flash in Cline and Claude Code shows speed advantages in real dev loops.

According to @godofprompt, Anthropic scales to $47B ARR and nears profitability, driven by Claude Code and enterprise agentic workflows.

According to @godofprompt, Anthropic says Opus 4.8 is 4x less likely to ship flawed code than 4.7, highlighting prompt engineering’s impact on reliability.

According to God of Prompt, Claude Code audited infra, flagged 3 idle Redis instances, and with approvals cleaned them up, saving $104 per month.

According to God of Prompt, a veteran engineer ships phone-built apps via Claude Code using rigorous plan mode, QA tests, and version control.

According to bcherny, zero2claude trains beginners to ship with Claude Code, drawing 17k students and proving production-grade agent use.

According to @bcherny, Claude Code adds /usage to break down token use by Skills, Agents, MCPs, Plugins in CLI today, with Desktop support next.

According to God of Prompt, Claude Code’s /goal runs until conditions are met with independent turn-by-turn QA, enabling unattended automation.

According to @claudeai, Claude Code adds an agent view listing all sessions, launching today as a research preview for streamlined workflow tracking.

According to God of Prompt, DeepSeek V4 natively runs Claude Code and costs $0.14 per million tokens versus $5.00 for Claude Opus 4.7.

According to @godofprompt, Anthropic partnered with SpaceX to double Claude Code 5h limits, but no verified source confirms this claim.

According to @_avichawla, agent teams add shared tasks, peer messaging, and persistent context to Claude Code, enabling scalable multi-agent workflows.

According to God of Prompt, Naval says product taste now beats coding as Claude Code enables end to end app building via natural language.

According to @claudeai, the Code with Claude developer conference returns next week with livestream sessions for all skill levels.

According to @deepseek_ai on X, the DeepSeek-V4-Pro API is discounted by 75% until May 5, 2026, 15:59 UTC, and developers can unlock a 1M token context by setting the model to deepseek-v4-pro[1m] in Claude Code, while OpenCode should be updated to v1.14.24+ and OpenClaw to v2026.4.24+ for compatibility. As reported by DeepSeek’s official post, the promotion lowers inference costs for long-context applications like code assistants, RAG pipelines, and multi-document analysis, creating near-term savings for teams scaling token-intensive workloads. According to the same source, the integration guidance indicates active ecosystem support, reducing upgrade friction and accelerating enterprise adoption of long-context AI in developer tooling.

According to DeepSeek on X (Twitter), DeepSeek V4 is now natively integrated with leading AI agents including Claude Code, OpenClaw, and OpenCode, and is already powering in-house agentic coding workflows at DeepSeek; the company also showcased a sample PDF generated by DeepSeek V4 Pro as evidence of its tool-use and document generation capabilities (source: DeepSeek). As reported by DeepSeek, these dedicated agent optimizations target seamless handoffs between code planning, tool invocation, and artifact generation, signaling practical gains for enterprise code automation, documentation pipelines, and agentic RAG workflows. According to DeepSeek, the integrations suggest lower orchestration overhead for businesses adopting multi-agent systems and faster time-to-value for developer productivity use cases such as code refactoring, unit-test synthesis, and spec-to-PDF generation.

According to Avi Chawla (@_avichawla) on X, swapping in Insforge Skills + CLI as a local backend context-engineering layer for Claude Code cut token usage from 10.4M to 3.7M (≈3x reduction), eliminated 10 errors to 0, and reduced cost from $9.21 to $2.81 in one change; as reported by the linked GitHub repo InsForge, the open-source framework orchestrates reusable Skills to streamline tool-aware prompts and context routing, which can lower LLM context bloat and inference spend for software engineering workflows. According to the X post and repo, the approach suggests immediate business impact for AI coding agents: reduced prompt budgets, higher reliability, and better latency via tighter context construction and local execution. As reported by Avi Chawla, developers can reproduce the gains using the InsForge repository for Claude Code to implement deterministic context pipelines and skill chaining for code tasks.

According to Ethan Mollick on X, a new paper replicating a classic study that gave 146 economist teams the same dataset finds that agentic AI systems like Claude Code and Codex produce conclusions near the human median but with far tighter dispersion and no extremes, indicating AI’s value for scalable research. As reported by Ethan Mollick, the original human study showed wide variability in outcomes from identical data, while the AI rerun reduces variance substantially, suggesting reproducibility gains and lower decision risk in empirical workflows. According to Mollick, these findings imply practical business impact: teams can standardize exploratory analysis, accelerate robustness checks, and compress cost and time for policy evaluation and market research using agentic AI pipelines.