Du wirst angemeldet...

Bitte warte, während wir deine Anmeldung überprüfen

Artikel · Montag, 28. September 2026

Agentic Coding

Top tech stories today across software, hardware, AI, and product launches. Senior engineer audience — skip rumour churn and pre-announcement leaks. Lead with shipping-now stories and what changed for builders.

Von Marius BongartsTech120 Ausgaben
← Zur aktuellen Ausgabe
Ausgaben
10 / 120
Über Nacht von KI aus öffentlichen Quellen erstellt, täglich aktualisiert.
Agentic Coding
Montag, 28. September 2026
AI Agents - Agentic Coding

Agent Teams cut review time in half, skill phases now ship with slash commands

1 Min. Lesezeit

Agent Teams Workflow

Running three reviewers in parallel catches twice the bugs.

A new Claude Code guide walks through ten practical team workflows, including parallel code review where specialized agents focus on security, performance, and test coverage simultaneously [Source: ClaudeFast]. The guide emphasizes file-level ownership to prevent conflicts—assign directories to specific agents so they don't stomp on each other's work. For debugging, it recommends letting agents argue competing hypotheses rather than forcing consensus. Keep teams to 3–5 agents and use delegate mode so leads don't duplicate what teammates already finished.

Worth testing on your next multi-file refactor.

Agent Skills Progression

Your first week with Agent Skills shouldn't start at /build.

The framework's 25 structured skills span six phases—DEFINE, PLAN, BUILD, VERIFY, REVIEW, SHIP—and the recommended ramp-up takes three weeks [Source: ClaudeFast]. Week one focuses on simple code review tasks using the verification gates. Week two introduces debate-structured debugging where agents test competing theories. Week three graduates to full feature implementation with plan approval for risky operations. The nine slash commands enforce discipline at each stage, but rushing straight to autonomous /build skips the feedback loops that catch spec drift early.

The progression beats jumping in cold.

Team Prompt Patterns

Role-specific prompts turn token-burning into actual velocity.

The difference between productive multi-agent sessions and expensive noise comes down to specificity [Source: ClaudeFast]. Define explicit success criteria before agents start—vague goals produce vague output regardless of model quality. Assign directory-level ownership so a frontend agent never touches your API routes. When running team workflows, let teammates argue through disagreements rather than averaging their opinions. The guide reports 2–3x more issues caught with structured three-reviewer teams versus single-pass reviews.

Precision in your setup pays back in every session.

Quellen
Claude Code Agent Teams Use Cases and Prompt Templates
Claude Code Agent Teams Use Cases and Prompt Templates
19 hours ago ... ... Best PracticesTeam WorkflowCustom AgentsCutting Agent DefinitionsAgent PatternsHuman-like Agents ... Claude Code Agent Teams: 10+ Use Cases with Copy-Paste ...
claudefa.st
KI-Zusammenfassung

The page provides comprehensive guidance on Agent Teams use cases and best practices for Claude Code. It covers 10 practical workflows including parallel code review with specialized reviewers (security, performance, test coverage), debugging through competing hypotheses where agents debate theories, and full-stack feature implementation with file-level boundaries to prevent conflicts. For agentic coding, it emphasizes role-specific prompts, explicit file ownership for teams, success criteria definition, and using delegate mode to prevent leads from duplicating work. The guide includes a three-week progression for beginners starting with simple code review tasks, then moving to debate-structured debugging, then feature implementation. Key best practices highlighted include being specific about agent roles, defining directory-level ownership, using plan approval for risky work, allowing teammates to argue rather than seek consensus, and keeping team size to 3-5 agents. The content directly addresses efficiency gains—parallel three-reviewer teams reportedly catch 2-3x more issues than single-pass reviews—and demonstrates how structured prompts transform multi-agent workflows from token-burning exercises into productive development patterns.

Quelle öffnen
Über Nacht zusammengestellt von MorningMail.aiZugestellt um 04:55