
AutoTTS Lets LLMs Search for Better Reasoning Strategies
A new arXiv paper proposes AutoTTS, an agentic framework for discovering test-time scaling strategies, with useful lessons for AI coding workflows and evaluation.
AI Use Case
Compare AI coding assistants for solo developers and engineering teams.

An AI-native code editor designed for project-level development workflows.
Understand modules, generate patches, explain errors, and assist multi-file refactors inside a real codebase.

An AI coding assistant for popular editors and GitHub workflows.

A new arXiv paper proposes AutoTTS, an agentic framework for discovering test-time scaling strategies, with useful lessons for AI coding workflows and evaluation.

Google DeepMind's AlphaEvolve update shows how Gemini-powered coding agents are moving from code generation toward measurable algorithm optimization.

OpenAI described how it runs Codex with sandboxing, approvals, network policies, and agent-aware telemetry, offering a useful operating model for teams adopting coding agents.
Compare AI coding assistants by project context, editing flow, and team integration.
A practical guide to AI release note drafting workflow, with task boundaries, tool roles, review checks, and a workflow your team can actually try.
A practical guide to AI issue triage for developers, with task boundaries, tool roles, review checks, and a workflow your team can actually try.