Recent content by Lucdev180

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    An AI agent completed 90 of its last 100 assigned tasks. The trust came from the workflow, not the model.

    Our team built a dedicated bug-fixing agent called Sherlock. It takes bugs directly from Slack. Over a recent 15-day window, it completed 13% of all company tasks. Of its last 100 assigned tasks, 90 finished successfully. We did not get there by writing a more elaborate system prompt. We built...
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    Best platforms for tracking and visualizing concurrent coding agent activity

    The more coding agents a team uses, the more difficult it becomes to maintain a clear picture of the work. A single developer may be coordinating multiple independent tasks, each with its own Agent, execution environment, output, and review process. I would evaluate platforms using these...
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    What's missing from most AI coding-agent management setups?

    I think there are two different questions when a team adopts AI coding agents: Which coding agent should we use? How should the team schedule, assign, monitor, and review the work? The first question gets most of the attention. But the second becomes important when several developers and...
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    Why teams may need an AI agent workspace instead of more AI chats

    A team can have access to several capable AI agents and still struggle to use them effectively. The problem often appears after the first interaction: Where is the task assigned? Who is checking the result? Can another teammate understand what the agent has already done? Where are blockers...
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    Agent Tools in 2026: Execution, Coding, and Team Coordination Are Different Problems

    Not every AI agent tool solves the same problem. I find it useful to divide the landscape into three categories: 1. Coding and execution agents Claude Code and Codex focus on completing software engineering tasks. 2. AI-assisted development environments Cursor brings AI capabilities into...
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    Google Jules Alternatives: 6 AI Coding Tools to Consider in 2026

    Google Jules is being phased out, leaving developers who rely on asynchronous AI coding workflows looking for alternatives. Google announced that Jules sessions will stop accepting new work on November 11, 2026, before the service enters read-only mode and winds down on December 31. If you're...
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    Sharkly.ai: An AI-Native Development Workspace Where Humans and Agents Can Work Together

    AI coding tools like Claude Code, Cursor, and Codex are changing the way software is developed. Developers can now delegate coding, debugging, testing, and other repetitive tasks to AI agents. However, when several agents and human developers work on the same project, coordination becomes a...
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    How to Build a Shared Agent That Every Teammate Can Use

    One challenge with AI agents in development teams is consistency. When every developer creates their own agent, instructions drift, workflows become harder to maintain, and teams end up repeating the same setup work. So, how do you build a shared agent that every teammate can use without...
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    How Can AI Agents and Human Creators Collaborate Without Losing Context?

    Creating content with AI is becoming easier. Coordinating the entire workflow, however, is still a challenge. Imagine a team producing educational videos with AI. One person handles research, another edits the script, and an AI coding or workflow agent helps organize tasks. When a task gets...
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    BYOLLM Is Only Half the Problem When Replacing Atlassian Rovo

    Something I think engineering teams should watch when evaluating Atlassian Rovo alternatives with BYOLLM support is the difference between choosing an AI model and actually integrating AI into day-to-day development. Being able to bring your own LLM can be valuable for controlling model choice...
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    Best Tools to Improve Efficiency for AI-Powered Teams — 5 Tools to Consider

    That's a good distinction. A Jira ticket being marked Done doesn't necessarily mean the deliverable is ready for someone else to use. I'd see Sharkly.ai as primarily addressing AI-agent task coordination and handoffs, rather than replacing GitHub's code review or the team's acceptance process...
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    What AI tool has genuinely improved your productivity this year?

    One thing I've found interesting is the difference between using AI to complete individual tasks and using AI to coordinate an entire workflow. Tools like ChatGPT and Claude are great for research, writing, and coding, but when several tasks and people are involved, keeping everything organized...
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    Vibe Kanban Alternatives: What Should AI Coding Teams Compare?

    That’s a good point about isolated worktrees and testing changes together. Parallel agents can look productive on their own, but conflicts around shared APIs, database schemas, or dependencies can create a lot of cleanup work. I also agree that a useful handoff should include more than a status...
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    Best Tools to Improve Efficiency for AI-Powered Teams — 5 Tools to Consider

    AI-powered teams can lose time switching between tools, manually tracking work, and coordinating agents. The right setup can make a real difference. Here are five tools worth considering: 1. Sharkly.ai — AI-agent task coordination My top recommendation for teams that need visibility into...
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    Vibe Kanban Alternatives: What Should AI Coding Teams Compare?

    The changes to Vibe Kanban's hosted services raise an interesting question: what matters most when choosing an AI coding workflow tool? I'd compare: Support for parallel coding-agent workflows Local versus hosted execution Task tracking and handoffs Integrations with existing...
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