•8 min read
3 Different Methods to Leverage LLMs while Programming
Go through increasingly advanced and complex AI development workflows
LLMAIClaude CodeDeepseek
Transforming complex challenges into simple scalable solutions
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~/src/your-next-project
❯npm run dev
ready - started server on 0.0.0.0:3000
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contact.sh --activeSSH: CONNECTING... AUTHENTICATEDcaptcha_bypassedSSL_handshake_completek8s_pod/contact-engine readyterraform apply: contact_infrassh tunneling: port 587 openpg_dump: contact_db archivedredis: contact_queue activezero_trust_handshake validatedIRC: #collaboration joinedapi_endpoint=/contact [200 OK]websocket: connection upgradedgraphql mutation: sendMessage()docker run -it --rm contact_clientgit_push --contact-detailsgRPC_stream: bidirectionalwebserver_log: 204 No ContentCDN_cache: contact_form purgedload_balancer: healthy(100%)sentry: error_rate=0.02%prometheus: uptime=100%grafana_dashboard: latency<200msfirewall_whitelisted: trueencryption_layer=activeforce_protocol=activetor circuit established$ ./deploy --collaborationconnection_manager —protocol=email[EXEC] contact_protocol_v2.1> npm run engage -- --email>>> await collaboration.sync()IPFS_hash: Qm...Fy7 pinnedansible playbook: contact.ymlblockchain_tx: 0x...A9C confirmedtransmission_laser --frequency=secureinfinite_loop=brokenturing_test=passedinitiate_contact.ps1 -status activesatellite uplink: 98% strengthcoffee_powered=true
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