Software Developer | AI Agents DM for collabs
Joined June 2025
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If you call yourself a software engineer and can't spot this bug in under 10 seconds, we need to talk
Salesforce MTS Interview Experience (3 YOE)
Interview rounds:
Online assessment
Two DSA rounds
Hiring Manager round
LLD round for a different opening, after the original requisition closed
Second Hiring Manager round
Hiring Manager discussion:
The questions included why you wanted to leave their current company. The second hiring manager also raised a concern about stability, although the candidate had worked at the same company since starting their career.
Compensation discussed:
Base: ₹28 LPA
Annual performance bonus: ₹2.8 LPA
RSUs: $48,000 over four years
Sravya Reddy retweeted
Seniors in 1st year: Bro CGPA doesn't matter, just build skills
Placement cell in 4th year: Shortlisted students for 20+ LPA companies (Cutoff: 8.5+ CGPA only)
Seniors in 1st year: Bro CGPA doesn't matter, just build skills
Placement cell in 4th year: Shortlisted students for 20+ LPA companies (Cutoff: 8.5+ CGPA only)
Sravya Reddy retweeted
The @GeminiApp era has begun. Two advanced models in just two weeks.
Google has introduced Gemini 4 Carbon, shifting the focus from raw generation speed to reliable, production-ready AI agents.
Key benchmarks:
- Artificial Analysis: #1 with an Intelligence Index score of 59
- SEC-bench Pro: 88.2% vulnerability detection
- CWE-bench: 71% successful vulnerability remediation
- Terminal-Bench 4.0: 0% reward hacking
Why does this matter?
The biggest challenge in autonomous coding isn't generating code. It's making AI agents reliable.
Carbon reportedly delivers:
- ~2x fewer unsupported assertions
- 26% reduction in overreach
- 29% reduction in under-service
- Better identification of ambiguous requirements and edge cases
The next AI race isn't just about writing better code. It's about building agents developers can actually trust with production systems.
@Google is moving fast.
Kudos to @sundarpichai and team
The @GeminiApp era has begun. Two advanced models in just two weeks.
Google has introduced Gemini 4 Carbon, shifting the focus from raw generation speed to reliable, production-ready AI agents.
Key benchmarks:
- Artificial Analysis: #1 with an Intelligence Index score of 59
- SEC-bench Pro: 88.2% vulnerability detection
- CWE-bench: 71% successful vulnerability remediation
- Terminal-Bench 4.0: 0% reward hacking
Why does this matter?
The biggest challenge in autonomous coding isn't generating code. It's making AI agents reliable.
Carbon reportedly delivers:
- ~2x fewer unsupported assertions
- 26% reduction in overreach
- 29% reduction in under-service
- Better identification of ambiguous requirements and edge cases
The next AI race isn't just about writing better code. It's about building agents developers can actually trust with production systems.
@Google is moving fast.
Kudos to @sundarpichai and team
What's more important for landing your first software engineering job?
A. DSA
B. Development projects
C. Internships
D. Communication skills
E. College brand
Pick ONE.