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zencoderai
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zencoderai
@zencoderai
The Most Intuitive AI Coding Agent - Code faster, smarter, and stay in the flow.
zencoder.ai
Joined May 2024
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  • Pinned
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    zencoderai
    @zencoderai
    May 18
    Codex. Claude. Gemini. Pick one? Or run all three. ⚔️
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    662K
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    zencoderai
    @zencoderai
    Jul 10
    The Multi-model workflow in Zenflow: one model plans, one implements, then three review in parallel. Two approval gates, so you sign off on the plan before it writes a line. The reviewer is never the model that wrote the code. That is the entire point of it.
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    zencoderai
    @zencoderai
    Jul 9
    Zenflow's model picker isn't a toggle between two chatbots. Opus, Fable 5, Codex, Gemini. Pick per task, or let it route. The teams shipping fastest don't marry one model. They use the right one for planning vs building vs review. The picker is the point.
    106
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    zencoderai
    @zencoderai
    Jul 8
    Zenflow for Enterprise: Integrating Salesforce, ServiceNow & AI Workflows x.com/i/broadcasts/1…
    84
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    zencoderai
    @zencoderai
    Jul 2
    Before you scale to a fleet of agents, get one agent boring and reliable on one task. Most "agents are flaky" complaints are people running five unreliable agents instead of fixing one. Reliability first, parallelism second.
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    zencoderai
    @zencoderai
    Jul 1
    Most agents start coding the second you hit enter. Zenflow reads the Jira ticket and the relevant parts of your repo first, writes a plan you can edit, then executes. The plan step is the difference between a PR you merge and one you rewrite.
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    zencoderai
    @zencoderai
    Jun 30
    After a year running agents on real code, my delegate-or-not list: Delegate: tests, refactors, boilerplate, migrations, first-draft PRs. Keep: schema changes, auth, anything touching money, the final review. The line isn't hard vs easy. It's reversible vs not.
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    zencoderai
    @zencoderai
    Jun 29
    Vibe coding gets you a demo by Friday. Then three weeks debugging code nobody understands, including the agent that wrote it. Speed without structure is a loan. The interest comes due in maintenance.
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    39K
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    zencoderai
    @zencoderai
    Jun 26
    What belongs in an AGENTS.md, and what most teams get wrong. What works: - Architecture summary, what each module does in two sentences - Off-limits files and why - Naming conventions the agent will not infer from code alone - The tests that must not regress - How PRs are
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    165
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    zencoderai
    @zencoderai
    Jun 25
    Running four agents in parallel is a throughput win. But without a verification layer, you do not ship the best answer. You ship the fastest one. Speed is easy now. Knowing which output to trust is the actual work.
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    zencoderai
    @zencoderai
    Jun 24
    Community Hours: Products, and Launch Stories
    74
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    zencoderai
    @zencoderai
    Jun 24
    Most AI coding tools forget everything the moment you close the session. Every new task starts cold. The architecture decisions, the patterns, the things the agent learned not to touch, all gone. Memory that persists across sessions is the difference between a tool you re-teach
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    zencoderai
    @zencoderai
    Jun 23
    Not all coding tasks belong to the same model. A rough routing guide we use in Zenflow: Feature code: Claude Opus 4.8 for reasoning depth. Code review: a GPT model for the adversarial pass. Test generation: Gemini Flash for speed and volume. Architecture planning: Claude Opus
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    zencoderai
    @zencoderai
    Jun 22
    There is a skill that just became worth $200k at most engineering orgs. It is not prompt engineering. It is spec-first development. Vibe coding is fast. It is also fragile. An agent with a clear spec outperforms an agent without one by an order of magnitude. The engineers who
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zencoderai
@zencoderai
Community Hours: Products, and Launch Stories
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